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Hi. And welcome everyone to the hundred

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ninth episode of Si rocks.

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Today, we had Scott Sew from Microsoft to

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talk with us about Microsoft Fabric

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and what that is in the context of

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power platform,

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So that's me, Marcus Samuel and Molly Martin.

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Yay. Hello.

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How are you doing today? Yeah. I'm just...

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Yeah Yeah. We're so sitting here. I can

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hear out already.

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How are you doing today what it. Good.

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Getting ready for vacation and every everything. Like,

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Norway is completely closed in July. We don't

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work July. Alright. Which is really good.

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Then you know when vacation is at least.

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Yeah yeah. So. What's your marketing minute today,

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Merlin?

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So

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customer tech team, they they have changed

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the release

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cascade or whatever it is, so they... The...

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The things come to marketing once to month,

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and a lot of things have been pushed

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lately because they're working on some big stuff.

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But also some new things have suddenly

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appeared.

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So this is 1 of the new things

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that appeared in

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mid to, like,

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June in marketing, and that is

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control how fast customers can enter a journey.

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So that is something called a rate limit

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where

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you can wait and say that, oh, I

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have this group of thousand people, 10000 people.

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But I only want to let through let's

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say, 10 or a hundred every day in

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this journey, and that way,

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customer service on the other end isn't drowning

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in people who has gone through this journey,

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and it just makes it a smoother ride

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for for everyone. So that is

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something that's coming in public preview in July,

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so that should be hopefully right around the

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corner when this episode airs.

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And it looks to be a good good

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surprised. That was all of sudden there in

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the release notes. Let's good.

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Nice.

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So you're listening, Lucas us up on Facebook

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and Linkedin, so we're here rocks dot com

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and Your favorite project has player as well

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and let us introduce. Scott Sew is passionate

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about helping users gain insight and value

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from the date birth data with the incredible

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Microsoft fabric suit date of data tools.

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Sweet suits. Yeah. Depending where

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In his role as principal program manager of

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Microsoft, he leveraged he experience in fabric, Power

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bi and Dynamics 3 65 to deliver solution

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that enables state driven decision making

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and digital

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transformation for customers across various industries and domain.

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Welcome back Scott Souls.

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Thank you very much. Thanks for the invitation.

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It's a great to talk to you again.

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It's you guys have been on a long

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run here, and just... It's so cool to

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see how much you're sharing with the the

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community and how you're pouring the information about

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that so much is going on we were

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talking about earlier. It's... There's no way to

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consume at all, But you guys help dis

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instill that and really make it accessible for

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the community and thank you for doing.

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Think you're as well. I mean, traveling

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around

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everywhere and

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delivering the fabric message.

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It's been a journey. We've had some...

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We're coming into a time where we're really

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trying to get the message out.

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We've got a mature

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feature that we're available as well as the

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community really

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embracing it right now. So I was... Did

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a

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community conference in Denver,

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and I was in Norway, and then I

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was also in the Uk and then Belgium

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at events,

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and I've got some coming up in the

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fall, Vegas and some others. So excited about

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it as well as the the

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the the

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Nordic summit in

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September. Yes. That's gonna be good ones. Yeah.

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Looking forward to it. Yeah.

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Good. What's your guilt pleasure, Scott? Guilty pleasure.

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I don't know that it's that guilty, but

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it's lately

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my wife and I've been cooking it. We've

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been, like, trying to get new recipes for

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dinner. Just just and and cooking something unusual

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for dinner. We chicken take you the other

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eye some, you know,

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It's been fun, but we wanna up sit,

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fixing it up and then

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talking the whole time, so it's been that's

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been a pretty relaxed pretty chill, but it's

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been a lot of fun. Nice. Yeah. I

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could see her smiling on your face when

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you talked about it it so you definitely

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enjoy it That's good

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Yeah. It's it's it's low key, but it's

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a it's a nice

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a nice... At the end of the day,

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sometimes, it's nice to have something that you

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get started, and you have a completion, and

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it's a completed project entire, you know, the

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dinner is a complete project.

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Yeah

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And there's no there's no change orders halfway

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through your anything.

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It's been good.

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Hopefully not. Hopefully not yeah.

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How did you get into Microsoft?

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Well, I joined

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Microsoft... It's our in terms of Microsoft joining

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Microsoft proper or into the space?

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Yes.

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Okay.

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But so

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what's rewind

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back in the old days.

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I started working on Well, I was working

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working with a a friend of mine who

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had a Crm...

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It was working with Crm from another company,

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and I was helping them do installations, and

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then they picked up Microsoft Crm 1 dot

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o. And I joined them

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and helped amp help them implement Crm 1

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dot o crm 1 dot 2.

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Back in there that would have been

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right at 21

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years ago.

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And so we we installed it. We would

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go into the server closets and set up

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sequel and last spent a lot of time.

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You know, installing an exchange after and, you

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know, trying to get the,

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the networking

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correct and get the sql working correctly and

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Ie and all the pieces and then

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down to the laptop setting up the laptop

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version of it.

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In in the... Installing it into outlook and

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the offline client, holy smoke.

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So yeah. It was... It was a lot

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of You spend a lot of time.

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Yeah. There's some... There's some flashbacks there, but

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there's some you spent a lot of time

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configuring all the plumbing

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before you even really had a chance to

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configure it to what the customer needed. So

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a lot of our effort was around that

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sort of the the the Mundane

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getting the software installed and running. So that

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was the first bunch years

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of working with Crm, you know, Crm 1

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to 2 and 3 and etcetera as it

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gradually moved online.

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About 6 years ago,

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but about actually about 8 years ago. I

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started demoing the

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a friend of mine had encouraged me to

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look at Power bi or what was power

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pivoted at that point.

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And I... There was a conference

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somewhere I forgot where it was. But I

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thought

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I'll throw a demo up, and I'll just

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do a demo of Power Bi with with

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Crm.

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And that's where I built that first version

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of my titanic that where built out Power

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bi showing off the passengers

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crew of the titanic, which I'd put in

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into into dynamics

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or the Crm as

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contacts and,

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categories, etcetera. So it's a lot of fun

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to do that but I kept finding that

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more and more, I got excited about the

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combination of Power bi and and Crm.

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So blue later than that had joined Microsoft

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and

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kinda took off on that on that tangent.

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That path. So was good. I started... I

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started with Microsoft on the Gb

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for dynamic sales and and customer service. So

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that was my focus area. And then

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2 years in, I do switched team that

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I joined

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team.

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Gb is global black belt. Global black belt.

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Sorry. Yeah. Thank you Global black belt,

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which my nephew was really imp my net,

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my Mean, your old Nephew, he was really

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impressed that I was a black belt. Was

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like, yeah. Not 1 of the...

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Not 1 of the adventurous type white belts,

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but just a what our tech black But,

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you know, and then... But I joined

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moved over to the Power bi

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team. But my focus area it even on

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Power bi is focused back on to dynamics.

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And so even though I'm on the Power

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Bi and now fabric team, my entire

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area focus is is empowering the dynamics commute

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with it. Awesome. And what's more now?

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Now you're a

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Well, it... It's Microsoft. So 3 letter acronyms

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P.

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Who's what program answer? Yes. Yeah. So what

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it what what what does that the person

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do? What's your needs for.

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So first, so there are think about their

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product managers.

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And then there be program manager. So a

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product manager makes more sense as to you're

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focused on a product itself,

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so some feature or software, something along that

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line. The product,

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you're focused on. Program managers sit alongside them,

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but are focused on, we'll say efforts. And

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I don't know how to not use the

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word program, but think of program not in

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a sense of software,

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but in the in the terms of a

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plan or an effort or some sort of

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work that helps

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move the message out. So part of my

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responsibility

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is

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is around all the programs we do to

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try to help empower users to take advantage

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of

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the dynamic makes sense and

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and fabric

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connection. So you'll think about program manager, my,

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our team is the cat

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customer advisory team where we look at customers

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and help them advise us on what they

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need.

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And we're that's that's the program we run

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is that advisory program

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as opposed to product where you're actually building

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a piece of actually responsible for code itself.

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If that helps clarify the sorta of dis

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dis.

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Yeah. But yeah. Absolutely the it's ultimately whatever

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whatever my lead says, hey. I need you

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to work on this. Okay? What that's what

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program manager still do now.

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Always... I mean, it's it's it's good because

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there so many, like, in the markers of

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the world, there are so many different.

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Job titles and job roles and acronyms

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from here to eternity, and it's it's kind

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of hard being on the outside. Okay. So

274
00:11:07,410 --> 00:11:10,373
you're this person that. Okay. I I understand

275
00:11:10,373 --> 00:11:12,360
the words in your title, but I have

276
00:11:12,360 --> 00:11:13,393
no idea what to do.

277
00:11:14,109 --> 00:11:16,652
Yeah, so from a standpoint of what I

278
00:11:16,652 --> 00:11:19,210
actually find what I do now. Is,

279
00:11:19,846 --> 00:11:21,514
it, like I said, it's it's kinda focused

280
00:11:21,514 --> 00:11:22,729
on that empowering

281
00:11:23,182 --> 00:11:24,238
the community

282
00:11:24,612 --> 00:11:26,121
to take advantage of it. That's gonna be

283
00:11:26,121 --> 00:11:27,129
a combination of

284
00:11:27,647 --> 00:11:31,071
of education, putting out videos and materials and

285
00:11:31,071 --> 00:11:32,504
say, here's what we can do.

286
00:11:33,619 --> 00:11:35,552
Working with our largest

287
00:11:35,865 --> 00:11:38,825
customers that do use the products together and

288
00:11:38,825 --> 00:11:40,745
trying to say, find out what are the

289
00:11:40,745 --> 00:11:41,945
blockers that they hit.

290
00:11:42,745 --> 00:11:45,159
What what are the challenges that make you

291
00:11:45,159 --> 00:11:47,077
know, inhibit adoption on the product,

292
00:11:47,956 --> 00:11:50,213
and then trying to feed that back into

293
00:11:50,512 --> 00:11:53,085
our our pro our product teams, Know, a

294
00:11:53,085 --> 00:11:55,165
lot of times, 1 customer might have 1

295
00:11:55,165 --> 00:11:57,965
off, oh, they have this 1 weird strange

296
00:11:57,965 --> 00:11:59,804
thing that they've gotta do. Okay. That's 1

297
00:11:59,804 --> 00:12:01,085
thing. But you start seeing...

298
00:12:01,658 --> 00:12:04,681
Eighth, you start also seeing blockers that multiple

299
00:12:04,681 --> 00:12:07,147
customers have and start trying to aggregate that

300
00:12:07,147 --> 00:12:07,545
and say,

301
00:12:08,181 --> 00:12:11,538
okay. These 5 customers have said they're blocked

302
00:12:11,538 --> 00:12:14,640
based on this particular use case. Is there

303
00:12:14,640 --> 00:12:16,709
something we can do that would actually unblock

304
00:12:16,709 --> 00:12:17,346
all 5.

305
00:12:17,996 --> 00:12:20,061
As opposed to just, like, 1 off 1,

306
00:12:20,220 --> 00:12:23,317
you know, throwing darts at that features. So

307
00:12:23,317 --> 00:12:25,063
a lot of that's is what I focus

308
00:12:25,063 --> 00:12:27,384
on. Some of it's gonna be edu vacation,

309
00:12:27,544 --> 00:12:29,163
you know, obviously, speaking at conferences.

310
00:12:30,341 --> 00:12:31,380
The video, the...

311
00:12:31,939 --> 00:12:33,937
And then just being... Honestly, just part of

312
00:12:33,937 --> 00:12:35,875
it's just being an advocate for

313
00:12:36,349 --> 00:12:38,182
What do we need to do to unblock

314
00:12:38,182 --> 00:12:40,414
and and make more and more customers take...

315
00:12:40,653 --> 00:12:42,588
Be able to take advantage of fabric

316
00:12:42,965 --> 00:12:44,240
with their dynamics data?

317
00:12:45,133 --> 00:12:46,728
1 of the biggest... I think 1 of

318
00:12:46,728 --> 00:12:48,803
the biggest blockers is... I don't know if

319
00:12:48,803 --> 00:12:50,638
how to necessarily say it, but it's almost

320
00:12:50,638 --> 00:12:53,839
like imagination. It's almost like the confidence to

321
00:12:53,839 --> 00:12:57,441
say, hey, there is a another step out

322
00:12:57,498 --> 00:13:00,735
beyond just configuring Crm or configuring date birth

323
00:13:01,092 --> 00:13:03,236
there's another step out to say, how do

324
00:13:03,236 --> 00:13:05,142
we take advantage of the data that's in

325
00:13:05,142 --> 00:13:06,357
there and

326
00:13:06,810 --> 00:13:09,590
making it a a clear and straightforward approach

327
00:13:09,590 --> 00:13:11,835
to say, here's how you can step into

328
00:13:11,835 --> 00:13:14,466
fat into a Power Bi and fabric to

329
00:13:14,466 --> 00:13:14,966
start

330
00:13:15,662 --> 00:13:17,198
pulling that data out and

331
00:13:17,576 --> 00:13:19,820
understanding it in an interesting way. I know

332
00:13:19,820 --> 00:13:21,405
from my own experience,

333
00:13:23,070 --> 00:13:25,923
sometimes it takes me actually seeing how somebody

334
00:13:25,923 --> 00:13:28,568
else has done it. And go, oh, I

335
00:13:28,568 --> 00:13:30,405
get it now. And then I can take

336
00:13:30,405 --> 00:13:31,524
off and run and do my own thing.

337
00:13:31,684 --> 00:13:33,362
It's not... Not that I have to copy

338
00:13:33,362 --> 00:13:35,040
them. It's just like, I kinda get a

339
00:13:35,040 --> 00:13:35,540
conceptual

340
00:13:36,254 --> 00:13:38,095
framework that I can understand your work in.

341
00:13:38,335 --> 00:13:39,695
So that's really what I'm trying to do

342
00:13:39,695 --> 00:13:42,335
is provide that, putting some, you know, putting

343
00:13:42,335 --> 00:13:44,014
some assets out there that people can look

344
00:13:44,014 --> 00:13:45,865
at that report that I some reports that

345
00:13:45,945 --> 00:13:47,934
I built and say, I like that. I

346
00:13:47,934 --> 00:13:49,923
don't like that. I was just gonna steal

347
00:13:49,923 --> 00:13:53,602
this. I'm gonna ignore that great. Yep. So

348
00:13:53,602 --> 00:13:56,316
if you heard Power Bi before, but never

349
00:13:56,316 --> 00:13:59,690
heard Microsoft fabric, what would you say that

350
00:14:00,468 --> 00:14:01,926
Microsoft fabric is

351
00:14:02,238 --> 00:14:05,265
Yeah. So so let's... So rewind it just

352
00:14:05,265 --> 00:14:07,199
a little bit to... When it was just

353
00:14:07,337 --> 00:14:09,965
fab... Power bi. So Power bi came out.

354
00:14:10,204 --> 00:14:11,342
It was both a desktop

355
00:14:11,970 --> 00:14:13,081
application and a service.

356
00:14:13,637 --> 00:14:15,304
And really to fully take advantage of it.

357
00:14:15,462 --> 00:14:17,685
You're fixing your report up on the desktop

358
00:14:17,685 --> 00:14:19,669
and then pushing it into a service. So

359
00:14:19,669 --> 00:14:22,151
that's how most of our customers take advantage

360
00:14:22,151 --> 00:14:23,744
of it. And it was just a service

361
00:14:23,744 --> 00:14:25,815
in the sense that you, you know, you

362
00:14:25,815 --> 00:14:28,045
signed up and you published it and, you

363
00:14:28,045 --> 00:14:29,215
know, depending on how much

364
00:14:29,889 --> 00:14:31,001
how you wanted to use it If you

365
00:14:31,001 --> 00:14:32,510
provide a credit card and do whatever and

366
00:14:32,510 --> 00:14:34,019
you roll with it. You didn't have to

367
00:14:34,019 --> 00:14:36,083
install servers, you didn't have to install plumbing

368
00:14:36,083 --> 00:14:38,004
or anything like that. And so that was

369
00:14:38,163 --> 00:14:40,785
Power Bi. But Power bi was really focused

370
00:14:40,785 --> 00:14:43,669
on kind of this basic tooling of

371
00:14:44,202 --> 00:14:46,604
the Power Bi reports and the the tools

372
00:14:46,604 --> 00:14:48,122
that took to get data into it. But

373
00:14:48,122 --> 00:14:50,060
there's a lot more that goes into data

374
00:14:50,279 --> 00:14:52,677
than just the report engine. There's, like, the...

375
00:14:52,836 --> 00:14:54,375
How do you get data

376
00:14:54,688 --> 00:14:58,261
at scale into data warehousing, data lakes and

377
00:14:58,578 --> 00:14:59,531
Etl tools like,

378
00:15:00,166 --> 00:15:02,468
data factory getting those in. And all of

379
00:15:02,468 --> 00:15:03,445
those were

380
00:15:03,754 --> 00:15:05,501
When you stepped out a Power bi, you

381
00:15:05,501 --> 00:15:07,407
had to go over to Azure and spin

382
00:15:07,407 --> 00:15:08,701
up individual services,

383
00:15:09,393 --> 00:15:11,537
register them and then connect the dots to

384
00:15:11,537 --> 00:15:14,016
get them all to work together. And the

385
00:15:14,016 --> 00:15:16,960
idea was, let's take this at the simplicity

386
00:15:16,960 --> 00:15:19,905
of Power bi, and let's bring those tools

387
00:15:19,905 --> 00:15:20,723
from Azure

388
00:15:21,434 --> 00:15:22,333
into the service

389
00:15:22,871 --> 00:15:24,728
so that again, it's... You

390
00:15:25,186 --> 00:15:26,564
started up, and

391
00:15:27,022 --> 00:15:29,337
you don't really focus on the plumbing of

392
00:15:29,337 --> 00:15:32,309
pulling things together. Are the installation or the

393
00:15:32,309 --> 00:15:34,790
the under grid below that? You really just

394
00:15:34,790 --> 00:15:36,550
focus on the use case? What is it

395
00:15:36,550 --> 00:15:38,562
that the customer's trying to do How do

396
00:15:38,641 --> 00:15:40,546
I solve this and and be able to

397
00:15:40,546 --> 00:15:43,188
build it. So fabric really is an extension

398
00:15:43,402 --> 00:15:45,942
of Power bi to include more than just

399
00:15:45,942 --> 00:15:48,894
analytics or porting. Includes the data warehousing, real

400
00:15:48,894 --> 00:15:52,071
time intelligence and, you know, whole whole list

401
00:15:52,071 --> 00:15:53,579
of things in addition.

402
00:15:55,103 --> 00:15:57,564
To make it much more much more accessible

403
00:15:57,564 --> 00:15:58,516
and easy to use.

404
00:15:59,151 --> 00:16:01,374
You know, I, earlier a minute ago, we

405
00:16:01,374 --> 00:16:03,517
was talking about the starting off in dynamics.

406
00:16:04,088 --> 00:16:06,477
And going into server closets and setting up

407
00:16:06,477 --> 00:16:08,092
and spending up a bunch of software

408
00:16:08,786 --> 00:16:10,458
just to get to where you could start

409
00:16:10,458 --> 00:16:11,971
adding value to the customer.

410
00:16:12,463 --> 00:16:13,814
That's kind of the way it was with

411
00:16:13,814 --> 00:16:14,847
business intelligence.

412
00:16:15,324 --> 00:16:17,389
You know, Power Bi and and, so our

413
00:16:17,469 --> 00:16:20,250
Crm and the Power platform became this real

414
00:16:20,250 --> 00:16:22,729
service that you basically turn it on, and

415
00:16:22,729 --> 00:16:24,398
then you configure it to make it sure

416
00:16:24,398 --> 00:16:25,829
it's what the customer needs.

417
00:16:26,385 --> 00:16:28,134
But then when you moved over to business

418
00:16:28,134 --> 00:16:28,611
intelligence,

419
00:16:29,263 --> 00:16:30,774
there was a whole... You know, there's a

420
00:16:30,774 --> 00:16:32,946
whole galaxy of things you had to configure

421
00:16:33,241 --> 00:16:35,469
before you could actually tune it to what

422
00:16:35,469 --> 00:16:37,936
the customer want needed for their use case.

423
00:16:38,509 --> 00:16:40,987
That's where fabric is kind of following that

424
00:16:40,987 --> 00:16:42,925
same model of the power platform.

425
00:16:43,384 --> 00:16:46,122
And so now all these tool, all the

426
00:16:46,181 --> 00:16:47,560
integration or the infrastructure

427
00:16:47,873 --> 00:16:50,250
sort of falls down below the surface and

428
00:16:50,646 --> 00:16:52,151
Microsoft just takes care of it. And you

429
00:16:52,151 --> 00:16:53,894
just focused on what kind of report do

430
00:16:53,973 --> 00:16:54,528
I wanna build?

431
00:16:55,098 --> 00:16:55,576
What kind of,

432
00:16:56,291 --> 00:16:58,597
where do I wanna pull data from and

433
00:16:58,597 --> 00:17:00,586
you build it. It's... It really simplifies the

434
00:17:00,586 --> 00:17:01,086
process

435
00:17:01,540 --> 00:17:04,180
tremendous... In a tremendous way. So That kinda

436
00:17:04,180 --> 00:17:06,410
answer your question is to, like, fabric fabric

437
00:17:06,410 --> 00:17:09,596
is like the power platform of business intelligence.

438
00:17:09,994 --> 00:17:11,348
Please don't tell anybody on my team that

439
00:17:11,428 --> 00:17:12,200
I said that. But

440
00:17:13,598 --> 00:17:15,436
But what It really is in that pattern

441
00:17:15,436 --> 00:17:17,354
of, like, let's turn all this into a

442
00:17:17,354 --> 00:17:17,854
service

443
00:17:18,472 --> 00:17:20,390
to make it easy for customers to take

444
00:17:20,390 --> 00:17:22,884
advantage of. That's really the same idea that's

445
00:17:22,884 --> 00:17:25,285
happened with all these business intelligence tools.

446
00:17:25,845 --> 00:17:28,164
They've come together as a service called fabric.

447
00:17:28,499 --> 00:17:30,976
Of which Power bi is a cornerstone of

448
00:17:30,976 --> 00:17:31,536
that service.

449
00:17:32,654 --> 00:17:34,732
And now it's it's available for customers take

450
00:17:34,732 --> 00:17:35,851
advantage of it. Awesome.

451
00:17:36,330 --> 00:17:36,785
So

452
00:17:37,141 --> 00:17:39,598
Lastly, Y. We talked a little bit about

453
00:17:39,757 --> 00:17:40,732
Asha synapse

454
00:17:41,579 --> 00:17:44,061
and how we could get data from

455
00:17:44,449 --> 00:17:44,949
data

456
00:17:46,125 --> 00:17:48,541
into that workspace and then

457
00:17:49,398 --> 00:17:49,898
towards

458
00:17:50,675 --> 00:17:52,990
power bi and and using it that way.

459
00:17:53,244 --> 00:17:54,381
So that's basically

460
00:17:55,553 --> 00:17:58,102
included now in the fabric.

461
00:17:58,500 --> 00:18:00,570
Yeah. So we have can I have 2

462
00:18:00,570 --> 00:18:01,605
different approaches now?

463
00:18:02,496 --> 00:18:04,643
The version that we talked about last time,

464
00:18:04,882 --> 00:18:07,030
where where we brought the data out of

465
00:18:07,030 --> 00:18:08,087
data dynamics

466
00:18:08,541 --> 00:18:10,212
or out of data version and put it

467
00:18:10,212 --> 00:18:12,940
into Azure storage and put some some apps

468
00:18:12,940 --> 00:18:14,776
in front of it. That was kind of

469
00:18:14,776 --> 00:18:15,914
this infrastructure...

470
00:18:17,729 --> 00:18:19,779
Platform is in as a service where you

471
00:18:19,978 --> 00:18:21,405
basically still had to wire a bunch of

472
00:18:21,405 --> 00:18:24,101
stuff together. And it was... I I loved

473
00:18:24,101 --> 00:18:25,687
it for the fact that it allows you

474
00:18:25,687 --> 00:18:27,353
to get massive amounts of data.

475
00:18:27,923 --> 00:18:29,674
But I was also challenged by the fact

476
00:18:29,674 --> 00:18:32,618
that you know, especially in the Smb space

477
00:18:32,618 --> 00:18:34,846
where we have a lot of customers who...

478
00:18:35,577 --> 00:18:37,246
Wanna take advantage of it, but they just

479
00:18:37,246 --> 00:18:39,789
don't have the resources to allocate to to

480
00:18:39,789 --> 00:18:41,616
spinning up that kind of tooling.

481
00:18:42,903 --> 00:18:45,216
That's still in place. It's still available, and

482
00:18:45,216 --> 00:18:47,289
it's still is supported and it will continue

483
00:18:47,289 --> 00:18:49,942
to be a supported approach, but where

484
00:18:50,319 --> 00:18:51,355
that now has...

485
00:18:51,930 --> 00:18:53,529
Taken bullet... Now we have this... That... We

486
00:18:53,529 --> 00:18:54,970
have the version where we spin it the

487
00:18:54,970 --> 00:18:55,609
data out to,

488
00:18:56,490 --> 00:18:58,250
Azure and we put synapse apps in front

489
00:18:58,250 --> 00:19:00,582
of it to to read it. We've also

490
00:19:00,582 --> 00:19:03,214
built a separate version, I say separate. It's

491
00:19:03,214 --> 00:19:05,390
kind of a different path. It's the same

492
00:19:05,768 --> 00:19:08,490
engine behind the scenes. That creates a Delta

493
00:19:08,490 --> 00:19:10,875
lake inside of date verse or inside the

494
00:19:10,875 --> 00:19:14,213
date birth security zone and makes shortcuts available

495
00:19:14,213 --> 00:19:14,611
fabric.

496
00:19:15,024 --> 00:19:17,736
In both the synapse version and the version

497
00:19:17,736 --> 00:19:20,130
that's built into date verse. At the end

498
00:19:20,130 --> 00:19:21,826
of the day, they both create,

499
00:19:22,616 --> 00:19:24,367
what we call a Delta lake, which is

500
00:19:24,367 --> 00:19:26,356
just a way of storing data in a

501
00:19:26,356 --> 00:19:28,186
in a file that's easy to easy to

502
00:19:28,186 --> 00:19:28,425
consume.

503
00:19:29,062 --> 00:19:31,345
Both them create that and both of them

504
00:19:32,342 --> 00:19:33,779
do the same thing in terms of making

505
00:19:33,779 --> 00:19:37,052
a shortcut to fabric. And III wanna highlight

506
00:19:37,052 --> 00:19:38,351
the fact that it's a shortcut

507
00:19:38,808 --> 00:19:40,405
and not a copy of the data,

508
00:19:40,898 --> 00:19:43,203
the data sits either inside of the date

509
00:19:43,203 --> 00:19:45,667
of birth security zone or inside of Azure,

510
00:19:46,144 --> 00:19:48,075
and fabric just knows

511
00:19:48,861 --> 00:19:50,686
once you told it, hey, there's data sitting

512
00:19:50,686 --> 00:19:52,036
in these places for you,

513
00:19:52,751 --> 00:19:54,021
you... It pretends like,

514
00:19:54,894 --> 00:19:57,038
the... As if the data is already loaded

515
00:19:57,038 --> 00:19:58,746
the fabric. Without having to

516
00:19:59,122 --> 00:20:01,432
Etl or copy it over to Yeah. Firewall.

517
00:20:01,592 --> 00:20:04,141
So it's it's the difference between query the

518
00:20:04,141 --> 00:20:07,259
data and importing the data. That's correct. That's

519
00:20:07,259 --> 00:20:09,161
exactly right. Just like you have a shortcut

520
00:20:09,161 --> 00:20:11,301
to a document on your desktop, And that

521
00:20:11,301 --> 00:20:13,782
document could be sitting in, onedrive.

522
00:20:14,329 --> 00:20:14,568
Yeah.

523
00:20:15,606 --> 00:20:16,643
It's just a shortcut.

524
00:20:17,122 --> 00:20:18,878
The Yeah. It just is right there to

525
00:20:18,878 --> 00:20:20,554
use. You don't worry about the fact that

526
00:20:20,554 --> 00:20:22,070
it's not stored on your desktop.

527
00:20:22,483 --> 00:20:23,835
You just know that you have a point

528
00:20:23,835 --> 00:20:25,186
to it, and you go grab the data

529
00:20:25,186 --> 00:20:26,616
when you need... So same kind of a

530
00:20:26,616 --> 00:20:28,865
scenario there. So so it... It's

531
00:20:29,239 --> 00:20:31,170
trying to make it easier for

532
00:20:31,719 --> 00:20:33,630
for people like me, not developers,

533
00:20:34,585 --> 00:20:37,156
you don't have to be so super technical

534
00:20:37,452 --> 00:20:39,921
to understand and to use it and everything.

535
00:20:41,047 --> 00:20:43,108
Absolutely. And and I I'll I'll say, I...

536
00:20:43,584 --> 00:20:45,169
Sometimes, I I try to pretend like in

537
00:20:45,169 --> 00:20:47,231
my developer, but I'm really not. I really

538
00:20:47,231 --> 00:20:47,627
am not.

539
00:20:48,278 --> 00:20:49,714
I come from like I said, I started

540
00:20:49,714 --> 00:20:51,708
implementing Crm. I was a low code guy

541
00:20:51,708 --> 00:20:53,144
before low code was a thing.

542
00:20:54,260 --> 00:20:57,211
And my my code my coding that I

543
00:20:57,211 --> 00:20:57,690
do now,

544
00:20:58,343 --> 00:21:01,050
tops out at writing sql statements. I mean,

545
00:21:01,687 --> 00:21:04,076
writing select statements, that... That's the extent of

546
00:21:04,076 --> 00:21:05,908
my coding that I do. The rest of

547
00:21:05,908 --> 00:21:07,838
it is just point, you know, click and

548
00:21:07,838 --> 00:21:10,395
drag and drop and connecting the dots between

549
00:21:10,395 --> 00:21:10,715
the 2.

550
00:21:11,754 --> 00:21:13,033
Occasionally, I'll write a little bit of a

551
00:21:13,033 --> 00:21:15,850
formula into a report just to, like, capture

552
00:21:16,323 --> 00:21:18,708
year over year or month over month sort

553
00:21:18,708 --> 00:21:21,491
of changes, but that's pretty minor what I

554
00:21:21,491 --> 00:21:23,820
do. And, honestly, I've I actually just

555
00:21:24,369 --> 00:21:26,205
a query that create check with

556
00:21:26,923 --> 00:21:28,918
with bing or c copilot or whatever else,

557
00:21:29,636 --> 00:21:31,950
whatever unnamed service I I happen to use.

558
00:21:32,444 --> 00:21:34,999
And grab seeing example like, I want something

559
00:21:34,999 --> 00:21:36,356
almost like that. Let me fix that and

560
00:21:36,435 --> 00:21:39,070
I'll that'll will work. Yep. But, yeah, It's

561
00:21:39,070 --> 00:21:41,876
it's really intended to kinda lower that lower

562
00:21:41,876 --> 00:21:42,614
the barrier

563
00:21:43,146 --> 00:21:45,290
of having to figure out how to configure

564
00:21:45,290 --> 00:21:48,410
all this stuff and say, okay. Jump in

565
00:21:48,465 --> 00:21:51,184
and just focus on what your customer needs

566
00:21:51,184 --> 00:21:51,662
to see.

567
00:21:52,696 --> 00:21:54,288
And we'll we'll help you work through the

568
00:21:54,288 --> 00:21:55,482
rest of it pretty easily.

569
00:21:56,118 --> 00:21:57,631
You still kinda have to take a data

570
00:21:57,631 --> 00:21:58,506
mindset to it.

571
00:21:59,874 --> 00:22:01,625
It it still takes a little bit... It's...

572
00:22:01,784 --> 00:22:04,012
I, it's still a learning curve, but the

573
00:22:04,012 --> 00:22:06,183
learning curve is really focused on

574
00:22:06,651 --> 00:22:09,345
getting value... Getting right to value as fast

575
00:22:09,345 --> 00:22:12,277
as possible. That's the that's the intent. So

576
00:22:12,277 --> 00:22:14,755
we've seen a lot of connectors in power

577
00:22:14,914 --> 00:22:17,327
Bi before that you can connect to date

578
00:22:18,102 --> 00:22:21,051
and import data from there. So are the

579
00:22:21,051 --> 00:22:24,248
connectors? Still there Still staying in fabric.

580
00:22:24,724 --> 00:22:26,791
So inside of fabric or inside of Power

581
00:22:26,871 --> 00:22:27,189
Bi,

582
00:22:27,984 --> 00:22:30,308
which is part of fabric. But inside of

583
00:22:30,388 --> 00:22:33,185
Power bi, you can still use and and

584
00:22:33,345 --> 00:22:34,963
I still encourage the use

585
00:22:35,342 --> 00:22:37,500
of the what we call the Td endpoint.

586
00:22:37,913 --> 00:22:40,609
Where you can write a sequel statement inside

587
00:22:40,609 --> 00:22:43,067
a Power bi, and it will send that

588
00:22:43,067 --> 00:22:45,208
directly to to date of diverse.

589
00:22:45,778 --> 00:22:48,000
And date of birth will take that sequel

590
00:22:48,000 --> 00:22:51,015
statement. It actually converts it into x Fetch

591
00:22:51,015 --> 00:22:53,816
xml, ask the data from Sequel

592
00:22:54,283 --> 00:22:56,608
and then converts it back into a sequel

593
00:22:57,220 --> 00:22:58,275
like tab

594
00:22:58,807 --> 00:23:01,347
data format that's sent back to the report.

595
00:23:01,839 --> 00:23:03,997
That's the Td that tab data stream.

596
00:23:05,036 --> 00:23:08,652
That approach is still absolutely valuable and usable

597
00:23:08,712 --> 00:23:10,230
for a lot of use cases.

598
00:23:11,043 --> 00:23:13,354
Specifically when you need to have a report

599
00:23:13,354 --> 00:23:14,252
that's filtered

600
00:23:14,708 --> 00:23:17,896
to just the 1 individual's security context.

601
00:23:18,309 --> 00:23:19,766
So think about if you have

602
00:23:20,541 --> 00:23:21,998
a team of salespeople.

603
00:23:22,454 --> 00:23:23,433
And those salespeople,

604
00:23:24,049 --> 00:23:26,734
each 1 is allowed to see the work

605
00:23:26,854 --> 00:23:29,795
that the the report... The... Sorry. The opportunities

606
00:23:29,795 --> 00:23:31,941
they're working on, but they're not allowed to

607
00:23:31,941 --> 00:23:33,951
see the person next to those

608
00:23:34,325 --> 00:23:35,779
opportunity. Obviously, it's

609
00:23:36,089 --> 00:23:38,003
A simple thing you can configure inside of

610
00:23:38,083 --> 00:23:38,561
Crm.

611
00:23:39,039 --> 00:23:41,033
If you use the Tedious endpoint with a

612
00:23:41,033 --> 00:23:41,671
direct query,

613
00:23:42,229 --> 00:23:44,781
it will and it will basically return the

614
00:23:44,781 --> 00:23:46,650
data according to that person's

615
00:23:47,264 --> 00:23:49,595
security profile inside of Crm.

616
00:23:49,970 --> 00:23:52,119
And if I share a record with somebody,

617
00:23:52,278 --> 00:23:53,552
it all of a sudden shows up in

618
00:23:53,552 --> 00:23:54,666
that person's Tedious,

619
00:23:55,717 --> 00:23:58,269
point. So very useful from that. Is also,

620
00:23:58,986 --> 00:24:01,001
when I run that, it asked the data

621
00:24:01,219 --> 00:24:04,663
immediately, what's what is happening right now. And

622
00:24:04,663 --> 00:24:07,058
returns that information. So it's low latency in

623
00:24:07,058 --> 00:24:09,474
that stamp. So it's it's, you know, that

624
00:24:09,533 --> 00:24:11,608
sounds wonderful, which is great. It is it

625
00:24:11,608 --> 00:24:12,507
is a wonderful

626
00:24:12,965 --> 00:24:15,287
feature The downside of it is because it's

627
00:24:15,287 --> 00:24:16,344
doing all that

628
00:24:16,797 --> 00:24:17,297
scalability

629
00:24:17,910 --> 00:24:20,771
into big datasets sets is not really there.

630
00:24:21,979 --> 00:24:24,230
Scalability into when you get into

631
00:24:25,321 --> 00:24:27,628
hundreds or hundreds of thousands or millions of

632
00:24:27,628 --> 00:24:28,128
records

633
00:24:28,997 --> 00:24:30,991
it's just... You're pulling it... You're pulling a

634
00:24:30,991 --> 00:24:32,985
whole lot of data through a really tiny

635
00:24:32,985 --> 00:24:33,224
straw.

636
00:24:34,181 --> 00:24:36,573
You're trying to ingest a lot through a

637
00:24:36,573 --> 00:24:37,552
really complicated

638
00:24:38,024 --> 00:24:38,502
pipeline,

639
00:24:38,901 --> 00:24:40,119
and that's where

640
00:24:40,576 --> 00:24:42,990
the fabric side of think comes over it

641
00:24:43,049 --> 00:24:45,681
fabric allows you to grab massive amounts of

642
00:24:45,681 --> 00:24:47,435
data very quickly and pull it through.

643
00:24:48,008 --> 00:24:49,622
It does not have the

644
00:24:50,157 --> 00:24:52,384
advantage or burden, however you wanna describe it

645
00:24:52,384 --> 00:24:54,873
of having to pull it through the user's

646
00:24:55,328 --> 00:24:56,521
individual security context.

647
00:24:57,014 --> 00:24:59,638
It is secured. It's secured as a whole,

648
00:25:00,194 --> 00:25:02,659
not as an... On an individual user by

649
00:25:02,659 --> 00:25:05,283
user perspective. But that's, you know, I I

650
00:25:05,283 --> 00:25:06,339
had a a customer

651
00:25:07,127 --> 00:25:08,900
couple of years ago where

652
00:25:09,275 --> 00:25:11,583
they they built a report and they had

653
00:25:11,583 --> 00:25:13,993
it filtered to each individual user

654
00:25:14,303 --> 00:25:17,087
and the the managers and the Ceo saw

655
00:25:17,087 --> 00:25:18,757
that report said, I wanna open that. And

656
00:25:18,757 --> 00:25:21,223
when they opened it because they had access

657
00:25:21,223 --> 00:25:24,265
to tons more data, the report just fell

658
00:25:24,265 --> 00:25:25,164
over sideways.

659
00:25:26,658 --> 00:25:28,253
And so what we did for that you...

660
00:25:28,492 --> 00:25:30,826
That use case, we said, okay. For these

661
00:25:30,965 --> 00:25:34,584
frontline workers that have really tightly scripted

662
00:25:35,910 --> 00:25:38,610
data data boundaries. We'll set them up with

663
00:25:38,610 --> 00:25:40,357
this, you know, version with Td.

664
00:25:40,849 --> 00:25:43,169
But for users who already have permission to

665
00:25:43,169 --> 00:25:45,089
all this data, we'll set them up with...

666
00:25:45,250 --> 00:25:47,890
Our approach much much faster for them at

667
00:25:47,890 --> 00:25:48,210
scale.

668
00:25:48,862 --> 00:25:50,612
And so you kinda get the... You've start

669
00:25:50,612 --> 00:25:52,918
working out. What is the... What's the use

670
00:25:52,918 --> 00:25:54,589
case? And what what do we wanna do

671
00:25:54,589 --> 00:25:55,225
with this data?

672
00:25:56,438 --> 00:25:58,276
And and that's kind of the the approach.

673
00:25:58,436 --> 00:26:00,114
But, yeah, The the connector still there.

674
00:26:01,633 --> 00:26:02,112
And

675
00:26:02,751 --> 00:26:04,764
it continues on. It will... And it and

676
00:26:04,764 --> 00:26:06,362
it should continue on. It's a it's a

677
00:26:06,362 --> 00:26:06,862
strong

678
00:26:07,321 --> 00:26:08,919
feature for specific use cases.

679
00:26:09,559 --> 00:26:11,237
Absolutely. And I I do know that there

680
00:26:11,237 --> 00:26:12,775
are some places

681
00:26:13,328 --> 00:26:15,559
where you have to use fabric if you

682
00:26:15,559 --> 00:26:17,471
wanna get ahold of the data. So I

683
00:26:17,471 --> 00:26:20,394
know that customer inside journeys that the

684
00:26:20,993 --> 00:26:23,228
1 of the ways of getting the information

685
00:26:23,228 --> 00:26:25,643
there. I don't know if the... That is

686
00:26:25,782 --> 00:26:27,936
out of preview or still in preview. I'm

687
00:26:27,936 --> 00:26:30,502
not sure. But There. Believe it. I believe

688
00:26:30,502 --> 00:26:33,130
it's still preview for those Ci... The Ci

689
00:26:33,130 --> 00:26:35,201
side of things. The nice thing is this

690
00:26:35,201 --> 00:26:37,612
is this approach fabric approach

691
00:26:38,085 --> 00:26:38,404
is

692
00:26:39,204 --> 00:26:40,724
capable of pulling in all the data front...

693
00:26:40,884 --> 00:26:43,365
And it's in date birth. Plus it's also

694
00:26:43,365 --> 00:26:45,224
set up in parallel to work with

695
00:26:45,538 --> 00:26:46,038
of

696
00:26:46,412 --> 00:26:48,555
F and o, the finance and operation tool.

697
00:26:48,794 --> 00:26:52,446
So anything in that which those tables my

698
00:26:52,446 --> 00:26:54,352
goodness. Yeah, they can be huge.

699
00:26:54,924 --> 00:26:55,642
Yeah. And

700
00:26:56,360 --> 00:26:58,673
and for those... The customers that need that

701
00:26:58,673 --> 00:27:00,986
kind of data, they're way off the scale

702
00:27:00,986 --> 00:27:03,139
in terms of in comparison in terms of

703
00:27:03,139 --> 00:27:05,307
volume of data that they pull in. Even

704
00:27:05,307 --> 00:27:07,378
for a even for a mild user of

705
00:27:07,378 --> 00:27:07,538
it,

706
00:27:08,573 --> 00:27:10,587
and it's it's a pretty large

707
00:27:11,122 --> 00:27:14,003
footprint. So it's really it's really valuable to

708
00:27:14,003 --> 00:27:15,674
them right off right from the beginning.

709
00:27:16,310 --> 00:27:18,061
So those are those are placed. The...

710
00:27:19,493 --> 00:27:20,868
But, yeah, It's it's

711
00:27:21,339 --> 00:27:23,729
it it it continues to grow and continues

712
00:27:23,729 --> 00:27:24,229
to

713
00:27:24,605 --> 00:27:27,235
be surprising how how valuable the tool is

714
00:27:27,235 --> 00:27:30,350
for people. So what What's the newest and

715
00:27:30,350 --> 00:27:32,572
coolest thing you're working on right now. Well,

716
00:27:32,731 --> 00:27:35,351
I mean, that is public knowledge and you

717
00:27:35,351 --> 00:27:36,247
can talk about

718
00:27:36,938 --> 00:27:39,670
sure they're some release notes right from reorder

719
00:27:39,670 --> 00:27:41,430
and a lot of cool new stuff going.

720
00:27:41,910 --> 00:27:44,150
Yeah. So I think the thing that I'm

721
00:27:44,150 --> 00:27:46,410
excited about right now is the ability

722
00:27:46,964 --> 00:27:47,464
to

723
00:27:48,003 --> 00:27:50,240
complete the loop. I... I've been excited about

724
00:27:50,240 --> 00:27:52,338
the process of getting data from dynamics,

725
00:27:52,957 --> 00:27:54,575
on data of birth into

726
00:27:54,969 --> 00:27:55,867
fabric for

727
00:27:56,245 --> 00:27:57,122
reporting purposes.

728
00:27:57,601 --> 00:27:59,993
But there's now there's additional loop of being

729
00:27:59,993 --> 00:28:01,451
able to take the data from

730
00:28:01,988 --> 00:28:04,141
fabric, which could be... Data being pulled in

731
00:28:04,141 --> 00:28:04,641
from

732
00:28:05,115 --> 00:28:06,154
completely different sources,

733
00:28:06,795 --> 00:28:10,235
non non dynamic sources. Fabric can have pointers

734
00:28:10,235 --> 00:28:13,595
to data that's in even competitive products to

735
00:28:14,075 --> 00:28:14,235
Microsoft.

736
00:28:14,889 --> 00:28:16,807
Have pointers to that data, and you can

737
00:28:16,807 --> 00:28:20,243
start consolidating it there or building views of

738
00:28:20,243 --> 00:28:22,820
that data and provide that back to

739
00:28:23,452 --> 00:28:25,444
dynamics as a virtual table,

740
00:28:26,081 --> 00:28:27,617
1 way, also

741
00:28:28,073 --> 00:28:29,768
with the real time intelligence

742
00:28:30,239 --> 00:28:30,639
pieces.

743
00:28:31,198 --> 00:28:32,476
And there are a lot of the tools

744
00:28:32,476 --> 00:28:35,452
where we've been listening to Iot devices or

745
00:28:35,672 --> 00:28:36,571
systems downstream,

746
00:28:37,681 --> 00:28:39,432
doesn't have to be Iot It can be

747
00:28:39,432 --> 00:28:41,740
other systems that just create alerts and say,

748
00:28:42,218 --> 00:28:43,673
by the way, so and so

749
00:28:45,019 --> 00:28:46,298
pipeline has exceeded

750
00:28:46,857 --> 00:28:50,053
exceeded their total amount or somebody's doing more

751
00:28:50,053 --> 00:28:52,610
than 90 days past their due their

752
00:28:54,058 --> 00:28:56,597
their expected payment window. And those kind of

753
00:28:56,597 --> 00:28:57,891
alerts can start happening

754
00:28:58,343 --> 00:29:00,961
and within the real time intelligence and built

755
00:29:00,961 --> 00:29:01,619
into fiber

756
00:29:01,928 --> 00:29:04,155
we can then take those actions and feed

757
00:29:04,155 --> 00:29:07,018
it back either as a... The simplest ways

758
00:29:07,018 --> 00:29:09,324
are, like, sending up Teams message or an

759
00:29:09,324 --> 00:29:11,573
email. The cool way though is

760
00:29:11,884 --> 00:29:14,445
it actually is linked directly to power automate.

761
00:29:14,845 --> 00:29:17,345
And so power automate can then be the

762
00:29:17,805 --> 00:29:20,045
the trigger that actually takes advantage of that

763
00:29:20,045 --> 00:29:20,205
thing.

764
00:29:20,858 --> 00:29:23,011
These real time intelligence have these really neat,

765
00:29:23,729 --> 00:29:26,281
triggering mechanisms like, you know, paramount... I mean,

766
00:29:26,760 --> 00:29:28,515
lot tools are easy to say, okay. If

767
00:29:28,515 --> 00:29:30,244
it goes over a million dollars

768
00:29:30,683 --> 00:29:31,003
fire.

769
00:29:31,561 --> 00:29:33,237
Okay? And so it goes over a million

770
00:29:33,237 --> 00:29:35,392
dollars, and it goes over a million dollars

771
00:29:35,392 --> 00:29:37,308
or stays over a million dollars How how

772
00:29:37,308 --> 00:29:38,425
often do you fire it?

773
00:29:39,633 --> 00:29:42,256
What about... But the the the real time

774
00:29:42,256 --> 00:29:45,196
intelligence has a neat approach to say, well,

775
00:29:45,594 --> 00:29:48,160
maybe it if it bounces above a hundred

776
00:29:48,160 --> 00:29:50,872
degrees, but it's only there for 5 minutes,

777
00:29:51,032 --> 00:29:53,106
and then it comes back to normal. Don't

778
00:29:53,106 --> 00:29:55,138
worry about it. But if it goes above

779
00:29:55,198 --> 00:29:56,156
a hundred degrees,

780
00:29:56,796 --> 00:29:58,713
and it stays there for more than an

781
00:29:58,713 --> 00:30:01,370
hour, then alert somebody or

782
00:30:01,683 --> 00:30:03,671
If it goes above a hundred degrees and

783
00:30:03,671 --> 00:30:05,260
comes back down, but it goes back up

784
00:30:05,260 --> 00:30:06,612
and it comes back down, it goes back

785
00:30:06,612 --> 00:30:09,076
up again. If it goes back above that,

786
00:30:09,648 --> 00:30:12,197
more than we'll say 3 times in a,

787
00:30:12,356 --> 00:30:15,303
in a 15 minute window, then alert somebody.

788
00:30:15,542 --> 00:30:17,533
But if it's just once or twice here

789
00:30:17,533 --> 00:30:17,931
or there,

790
00:30:18,584 --> 00:30:19,084
it's

791
00:30:19,460 --> 00:30:21,635
it's fine. So it's kinda there's really

792
00:30:22,171 --> 00:30:23,070
more elaborate

793
00:30:24,244 --> 00:30:26,476
triggers that it can listen for and say,

794
00:30:27,049 --> 00:30:29,047
we're not gonna just, like, blow up every

795
00:30:29,047 --> 00:30:32,162
time anything happens. We know that... Yeah. It's...

796
00:30:32,322 --> 00:30:34,972
It... Maybe it happens occasionally, but only if

797
00:30:34,972 --> 00:30:36,884
it starts to become a problem, that's when

798
00:30:36,884 --> 00:30:37,920
we wanna address it.

799
00:30:39,035 --> 00:30:41,106
That was my my challenge with some of

800
00:30:41,106 --> 00:30:43,035
our some of the power automate that I

801
00:30:43,035 --> 00:30:46,147
built originally early on was that they fired

802
00:30:46,147 --> 00:30:49,984
way too often. Yeah. And it became, you

803
00:30:49,984 --> 00:30:52,045
know, it's like the the the thing you

804
00:30:52,045 --> 00:30:54,819
you probably experienced this. You know, everybody wants

805
00:30:54,819 --> 00:30:55,319
email

806
00:30:55,691 --> 00:30:56,191
notifications

807
00:30:56,737 --> 00:30:58,328
until they start getting them. Yeah.

808
00:30:58,965 --> 00:31:01,272
Yeah. And at that point, they go, turn

809
00:31:01,272 --> 00:31:02,942
to spam off. I don't wanna see this.

810
00:31:03,994 --> 00:31:05,595
But they really... What they really want is

811
00:31:05,595 --> 00:31:07,214
to be notified when something

812
00:31:07,755 --> 00:31:09,615
starts to look... Starts to go

813
00:31:10,154 --> 00:31:11,115
way out of compliance.

814
00:31:12,167 --> 00:31:13,603
Get that. So that's kind of the areas

815
00:31:13,603 --> 00:31:16,474
that I'm excited about. Is that feature pulling

816
00:31:16,474 --> 00:31:17,511
the data back in.

817
00:31:18,229 --> 00:31:20,462
But I'm also just excited about seeing more

818
00:31:20,462 --> 00:31:21,361
and more people

819
00:31:21,753 --> 00:31:23,902
take advantage of the data that they have.

820
00:31:25,096 --> 00:31:26,789
You know, there's so much value

821
00:31:27,643 --> 00:31:29,018
sitting on the table

822
00:31:29,408 --> 00:31:31,417
in a lot of these date of birth

823
00:31:31,791 --> 00:31:35,049
implementations. There's so much value that businesses can

824
00:31:35,049 --> 00:31:37,769
take advantage of if they have somebody who's

825
00:31:37,769 --> 00:31:39,362
willing to step in and go, let's let's

826
00:31:39,362 --> 00:31:41,194
kinda look at this data. Let's look at

827
00:31:41,194 --> 00:31:42,628
what's happening, see if we can find some

828
00:31:42,628 --> 00:31:45,336
patterns here that help us understand the business

829
00:31:45,336 --> 00:31:45,575
better.

830
00:31:46,467 --> 00:31:48,378
So... Yeah, I'm excited about that too. Yeah.

831
00:31:48,697 --> 00:31:50,211
He's still too. I kinda get excited about

832
00:31:50,211 --> 00:31:51,348
a lot of things, But

833
00:31:52,123 --> 00:31:53,499
actually, data du

834
00:31:53,955 --> 00:31:54,911
decisions and everything.

835
00:31:55,403 --> 00:31:58,659
Nice. Yeah. It's cool. And making it actionable.

836
00:31:58,817 --> 00:32:01,756
That's cool as well so yeah. But power

837
00:32:01,756 --> 00:32:04,002
bi is power of power platform,

838
00:32:04,789 --> 00:32:06,963
and the Power bi is also

839
00:32:07,341 --> 00:32:10,530
part of Microsoft fabric, but that's not part

840
00:32:10,530 --> 00:32:14,928
of power platform. Yeah. So so it's it's

841
00:32:14,928 --> 00:32:15,404
kind of...

842
00:32:16,914 --> 00:32:18,504
We'll say it still has the power in

843
00:32:18,504 --> 00:32:18,902
the name.

844
00:32:21,207 --> 00:32:22,899
It's... Yeah. It's a

845
00:32:23,288 --> 00:32:25,512
We'll, we'll call them cousins to the power

846
00:32:25,512 --> 00:32:26,012
platform.

847
00:32:27,180 --> 00:32:29,348
It's looped under this larger data

848
00:32:29,721 --> 00:32:30,436
conversation that's there.

849
00:32:31,563 --> 00:32:31,881
The

850
00:32:32,438 --> 00:32:34,107
and, of course, as long as I'm in

851
00:32:34,107 --> 00:32:34,981
the in the mix,

852
00:32:36,095 --> 00:32:38,979
Power bi and power platform are gonna be

853
00:32:39,115 --> 00:32:42,074
are gonna be in the conversation. Because there's

854
00:32:42,074 --> 00:32:44,225
so much value there. But yeah. I mean,

855
00:32:44,384 --> 00:32:45,897
I I think it's just the difference in

856
00:32:45,897 --> 00:32:49,084
which team is responsible for creating and managing

857
00:32:49,084 --> 00:32:51,884
it. Okay. So how do I buy fabric

858
00:32:51,884 --> 00:32:54,272
them? It's credit card. You basically can go

859
00:32:54,272 --> 00:32:56,602
in and sign up and spin up a

860
00:32:56,898 --> 00:32:58,826
environment? You don't even have a credit credit

861
00:32:58,826 --> 00:33:00,421
card to set... Set it up and run

862
00:33:00,421 --> 00:33:02,735
it. You basically, you go on log on,

863
00:33:02,894 --> 00:33:04,591
you can get a 90 day trial

864
00:33:05,543 --> 00:33:07,461
really easily not to spin that up and

865
00:33:07,461 --> 00:33:10,177
run it. But it's not part of the

866
00:33:10,336 --> 00:33:11,236
Power bi

867
00:33:12,346 --> 00:33:13,641
pro or premium

868
00:33:14,254 --> 00:33:18,308
subscription. It's a different canon subscription. Right. So

869
00:33:18,467 --> 00:33:20,931
Power bi Pro, Power bi premium per user,

870
00:33:21,503 --> 00:33:24,606
Those are really individual user by user kinda

871
00:33:24,606 --> 00:33:25,004
licensing.

872
00:33:25,482 --> 00:33:28,426
Yeah. Fabric becomes more of an organizational license.

873
00:33:28,839 --> 00:33:31,543
And saying we're gonna create a capacity, and

874
00:33:31,941 --> 00:33:34,487
that capacity sits on this on the on

875
00:33:34,487 --> 00:33:35,362
the service.

876
00:33:36,014 --> 00:33:38,587
And you spin up a capacity and

877
00:33:39,204 --> 00:33:40,879
decide how much of it you wanna use.

878
00:33:41,278 --> 00:33:43,192
You think back to... If you were comfortable

879
00:33:43,192 --> 00:33:45,207
or familiar with Power bi premium

880
00:33:45,679 --> 00:33:48,074
Power bi premium is it was a capacity

881
00:33:48,074 --> 00:33:50,548
for just Power Bi, but now really with

882
00:33:50,548 --> 00:33:51,984
that same capacity,

883
00:33:52,383 --> 00:33:54,394
you get all the fabric features too. So...

884
00:33:54,633 --> 00:33:56,467
And it depends on what you use it

885
00:33:56,467 --> 00:33:58,063
for and how much you need it. You

886
00:33:58,063 --> 00:34:00,774
know, the different they capacities are really small

887
00:34:00,774 --> 00:34:02,130
that would be fine for if you just

888
00:34:02,130 --> 00:34:03,885
need to run a report every so often.

889
00:34:05,014 --> 00:34:07,162
All the way up to very, very large

890
00:34:07,162 --> 00:34:09,469
ones with massive amounts of memory and compute

891
00:34:09,469 --> 00:34:12,492
behind them that for really, really intense workloads

892
00:34:12,492 --> 00:34:13,380
that you know,

893
00:34:14,094 --> 00:34:16,552
the the largest organizations on the planet. Right,

894
00:34:17,424 --> 00:34:20,357
close. There's something for Edward 1. Absolutely.

895
00:34:21,088 --> 00:34:21,588
Absolutely.

896
00:34:22,046 --> 00:34:22,924
Yeah. That's good times.

897
00:34:23,882 --> 00:34:26,776
Awesome. So so what are kind of the

898
00:34:26,835 --> 00:34:29,171
examples that you've seen with

899
00:34:29,483 --> 00:34:32,045
power platform, Power bi and

900
00:34:32,655 --> 00:34:33,155
date

901
00:34:33,528 --> 00:34:36,542
lately then. Yeah. I think most of the

902
00:34:36,542 --> 00:34:39,181
examples that I'm seeing are around...

903
00:34:40,296 --> 00:34:42,707
Look, we think about the power platform is

904
00:34:42,764 --> 00:34:43,640
fantastic for,

905
00:34:45,233 --> 00:34:45,733
transactional

906
00:34:46,124 --> 00:34:46,842
type usage.

907
00:34:47,641 --> 00:34:50,036
I'll call transactional data. I'm... Now, obviously, you

908
00:34:50,036 --> 00:34:52,930
know me, I'm a a huge advocate for

909
00:34:53,069 --> 00:34:55,794
how valuable the power platform is. But think

910
00:34:55,794 --> 00:34:58,175
of it in terms of it's really... Its

911
00:34:58,175 --> 00:34:59,151
focus area

912
00:34:59,524 --> 00:35:00,580
is completing

913
00:35:01,032 --> 00:35:03,096
transactions and saying, here's a pros here's something

914
00:35:03,096 --> 00:35:03,834
that happened

915
00:35:04,144 --> 00:35:06,456
or a, sales opportunity or a service case

916
00:35:06,456 --> 00:35:07,972
or a work order or something like that,

917
00:35:08,450 --> 00:35:10,682
that needs to be somebody needs to do

918
00:35:10,682 --> 00:35:12,357
something to a complete it, and then it

919
00:35:12,357 --> 00:35:15,798
goes into this history of what's happened. Yeah.

920
00:35:16,037 --> 00:35:17,255
So it's kind of that

921
00:35:18,029 --> 00:35:19,007
transactional focus

922
00:35:19,543 --> 00:35:22,251
of things. But as those transactions happen,

923
00:35:22,824 --> 00:35:24,835
they create this history of

924
00:35:25,289 --> 00:35:29,130
records that of past transactions. And that history

925
00:35:29,838 --> 00:35:31,527
is now a valuable

926
00:35:31,979 --> 00:35:34,358
asset that should be taken advantage of.

927
00:35:35,151 --> 00:35:37,316
That history can be mined for

928
00:35:37,862 --> 00:35:39,528
what are we seeing in trends? What do

929
00:35:39,528 --> 00:35:41,512
we see going forward? How do we... How

930
00:35:41,512 --> 00:35:42,940
does this change month over month?

931
00:35:44,050 --> 00:35:46,010
And those... You know, when you're dealing with

932
00:35:46,209 --> 00:35:48,443
you know, 10 or 15 or 20000 records.

933
00:35:49,001 --> 00:35:50,916
You can just don't let... You can just

934
00:35:50,916 --> 00:35:52,831
export it excel and look at it. That's

935
00:35:52,831 --> 00:35:53,070
fine.

936
00:35:53,723 --> 00:35:54,916
When you're starting to deal with hundreds of

937
00:35:54,916 --> 00:35:57,008
thousands of records and you're dealing with

938
00:35:57,383 --> 00:36:00,668
related tables between them and you're dealing with

939
00:36:00,804 --> 00:36:02,418
different kinds of conditions

940
00:36:03,687 --> 00:36:05,443
you know, excel not really the tool for

941
00:36:05,443 --> 00:36:07,519
that. Excel, I mean, you really start looking

942
00:36:07,519 --> 00:36:09,834
and saying, I wanna... I also wanna see

943
00:36:09,834 --> 00:36:12,125
it not just in tables. I wanna see

944
00:36:12,323 --> 00:36:14,227
Show me some pictures. Show me some visuals

945
00:36:14,227 --> 00:36:16,369
on what's going on. And so a lot

946
00:36:16,369 --> 00:36:18,194
of what I'm seeing in terms of value

947
00:36:18,194 --> 00:36:19,940
is really where people are looking at what's

948
00:36:19,940 --> 00:36:20,440
happened

949
00:36:20,750 --> 00:36:22,429
and saying, let me trend this out and

950
00:36:22,429 --> 00:36:25,150
say, can I do predictive against this? Can

951
00:36:25,309 --> 00:36:27,390
I use things like the key influencer to

952
00:36:27,390 --> 00:36:30,204
run regression analysis against it? Without having to

953
00:36:30,204 --> 00:36:32,925
write any math or code. Run that, we

954
00:36:32,925 --> 00:36:35,565
show you what my allocations look like, had

955
00:36:35,565 --> 00:36:37,657
a customer the other day that would just

956
00:36:37,657 --> 00:36:40,601
a simple simple simple example was they wanted

957
00:36:40,601 --> 00:36:43,625
to see month over month change to the

958
00:36:43,625 --> 00:36:43,943
data.

959
00:36:44,739 --> 00:36:46,512
Inside the data verse, we can show a

960
00:36:46,664 --> 00:36:49,046
you know, pattern, like, how many how many

961
00:36:49,046 --> 00:36:49,784
events happened

962
00:36:50,316 --> 00:36:51,904
each month. But they wanted to, like, a

963
00:36:51,904 --> 00:36:54,548
month over month compare they wanted to see

964
00:36:55,096 --> 00:36:57,003
what month did they see big spikes are

965
00:36:57,003 --> 00:36:59,308
low or drop offs? And they then they

966
00:36:59,308 --> 00:37:02,169
wanted like how did the pipeline look this

967
00:37:02,169 --> 00:37:03,202
month last year?

968
00:37:03,773 --> 00:37:06,319
Now. Exactly. And look at ways in which

969
00:37:06,319 --> 00:37:06,955
they can say,

970
00:37:07,512 --> 00:37:10,398
can I identify what led to

971
00:37:10,868 --> 00:37:13,255
some of these changes? Or can I at?

972
00:37:13,493 --> 00:37:15,959
Can I allocate some of that change to

973
00:37:15,959 --> 00:37:18,525
different parts of the organization? As well as

974
00:37:18,525 --> 00:37:20,284
how do I... You know, for instance, you

975
00:37:20,284 --> 00:37:21,804
know, 1 of the things that's interesting is,

976
00:37:22,284 --> 00:37:23,965
a lot of times, those of us who

977
00:37:23,965 --> 00:37:26,284
were... Have worked in in the power platform

978
00:37:26,284 --> 00:37:26,605
directly.

979
00:37:27,179 --> 00:37:29,579
We get really comfortable with just looking at

980
00:37:29,579 --> 00:37:31,579
the, you know, views and, you know, change

981
00:37:31,579 --> 00:37:33,019
it up a view and filtering it that

982
00:37:33,019 --> 00:37:34,699
way, and we can see a lot of

983
00:37:34,699 --> 00:37:36,713
things because we just kinda get this kinda

984
00:37:36,713 --> 00:37:38,946
like the matrix. You're looking at this screen

985
00:37:38,946 --> 00:37:41,099
of data and you just are absorbing it

986
00:37:41,099 --> 00:37:43,252
and interpreting it because we're so close to

987
00:37:43,252 --> 00:37:44,767
it and we under and we understand what's

988
00:37:44,767 --> 00:37:46,778
going on. But then when you wanna turn

989
00:37:46,778 --> 00:37:49,915
around and communicate that to your leadership, or

990
00:37:49,974 --> 00:37:51,433
communicate to that to the stakeholders,

991
00:37:52,052 --> 00:37:53,650
you really wanna be able to show it

992
00:37:53,650 --> 00:37:54,390
into a

993
00:37:55,260 --> 00:37:57,963
a much richer format, like like a Power

994
00:37:57,963 --> 00:38:00,746
bi type. Or You wanna be able to

995
00:38:00,746 --> 00:38:02,438
show the Power bi data

996
00:38:02,749 --> 00:38:03,249
in

997
00:38:03,626 --> 00:38:05,938
combination with data from outside of date birth.

998
00:38:06,735 --> 00:38:09,547
For instance in my in my own organization

999
00:38:09,923 --> 00:38:12,324
within Microsoft, We have it... We use a

1000
00:38:12,324 --> 00:38:14,864
power app. And when they ask us to

1001
00:38:14,864 --> 00:38:16,688
build a power app to track, you know,

1002
00:38:16,768 --> 00:38:18,037
this this thing we're tracking.

1003
00:38:18,609 --> 00:38:20,125
I was obviously gonna sign up. I was

1004
00:38:20,125 --> 00:38:22,120
like, yeah, I'll do this. And I spent

1005
00:38:22,120 --> 00:38:24,615
all this time configuring it, and making it

1006
00:38:24,754 --> 00:38:27,085
just real, you know, lining up the things

1007
00:38:27,085 --> 00:38:28,684
and just making a power app that just

1008
00:38:28,684 --> 00:38:31,244
really, you know, hide the fields and just

1009
00:38:31,244 --> 00:38:33,484
really focus on making it really easy to

1010
00:38:33,484 --> 00:38:35,380
use because I was gonna show all the

1011
00:38:35,737 --> 00:38:37,409
skills that I'd learned over the years. Here's

1012
00:38:37,409 --> 00:38:38,284
how we can do this.

1013
00:38:39,399 --> 00:38:41,309
And I did that, and the... There was

1014
00:38:41,309 --> 00:38:42,605
a collective yawn

1015
00:38:44,593 --> 00:38:44,912
users.

1016
00:38:45,552 --> 00:38:46,111
I was like,

1017
00:38:48,188 --> 00:38:50,826
okay. And and mostly used because when they

1018
00:38:50,826 --> 00:38:53,626
saw it, all they saw was it was

1019
00:38:53,626 --> 00:38:56,170
asking them to do work. Yeah. It was

1020
00:38:56,170 --> 00:38:58,816
not something that they saw immediately

1021
00:38:59,443 --> 00:39:01,749
that it would help them in their conversations

1022
00:39:01,749 --> 00:39:04,610
with their customers. So moving forward a month

1023
00:39:04,610 --> 00:39:06,701
later, we started incorporating

1024
00:39:07,155 --> 00:39:08,427
additional Power bi reports.

1025
00:39:09,077 --> 00:39:11,694
Into this power app, where if I am

1026
00:39:11,694 --> 00:39:13,543
gonna sit down and talk with

1027
00:39:14,470 --> 00:39:14,970
ac...

1028
00:39:15,343 --> 00:39:15,660
Ac

1029
00:39:16,295 --> 00:39:16,795
Corporation

1030
00:39:17,105 --> 00:39:19,585
and I go to the Ac Corporation account

1031
00:39:19,585 --> 00:39:20,565
record in dynamics.

1032
00:39:21,184 --> 00:39:22,704
I see the things that are stored in

1033
00:39:22,704 --> 00:39:23,184
dynamics.

1034
00:39:23,505 --> 00:39:25,824
Good. But I also see a a Power

1035
00:39:25,824 --> 00:39:28,839
bi report embedded on that form that pulls

1036
00:39:28,839 --> 00:39:30,822
data from outside of dynamics.

1037
00:39:31,313 --> 00:39:34,280
It pulls data from other systems, multiple systems

1038
00:39:34,496 --> 00:39:34,996
together

1039
00:39:35,371 --> 00:39:36,962
to give me the bigger picture of what's

1040
00:39:36,962 --> 00:39:39,762
going on. So I have this immediate context.

1041
00:39:39,922 --> 00:39:41,514
So if I'm gonna call up and have

1042
00:39:41,514 --> 00:39:42,809
a conversation with

1043
00:39:43,423 --> 00:39:45,095
with somebody from Ac

1044
00:39:45,652 --> 00:39:46,105
Corporation

1045
00:39:46,465 --> 00:39:48,465
I see that. I have the context of

1046
00:39:48,465 --> 00:39:50,704
what's gonna happen. And and while I'm there,

1047
00:39:50,945 --> 00:39:52,545
I can just enter the notes from what

1048
00:39:52,545 --> 00:39:53,585
the conversation is.

1049
00:39:54,158 --> 00:39:57,336
And it becomes as really valuable tool. And

1050
00:39:57,336 --> 00:40:00,457
so now it really changed the whole dynamic

1051
00:40:00,672 --> 00:40:02,102
from within my team to say,

1052
00:40:02,834 --> 00:40:05,391
Instead of this, as James Phillips call it

1053
00:40:05,391 --> 00:40:06,510
a system of oppression.

1054
00:40:07,549 --> 00:40:09,387
We're just, like, all you had... All it

1055
00:40:09,387 --> 00:40:11,145
was asking for is for you to enter

1056
00:40:11,145 --> 00:40:13,943
data. And it really changed to a system

1057
00:40:13,943 --> 00:40:16,724
of empowerment where now this is a tool

1058
00:40:16,724 --> 00:40:18,948
that gives me a the context of the

1059
00:40:18,948 --> 00:40:20,084
data that I need

1060
00:40:20,393 --> 00:40:21,746
in the easiest format.

1061
00:40:22,621 --> 00:40:25,167
And so Power bi plus power platform or

1062
00:40:25,247 --> 00:40:27,713
Power app became this incredible tool that we

1063
00:40:27,713 --> 00:40:30,036
got other people in the organization knocking on

1064
00:40:30,036 --> 00:40:31,707
our door. We're having to, like, limit who

1065
00:40:31,707 --> 00:40:33,219
we bring in because we have to trade

1066
00:40:33,219 --> 00:40:35,686
them it and get them, acclimated. But it

1067
00:40:35,686 --> 00:40:37,516
but it changed the dynamic of what's what's

1068
00:40:37,516 --> 00:40:40,154
going on. Nice so it's pretty exciting stuff.

1069
00:40:40,471 --> 00:40:43,828
Yeah. Cool. Well, you you mentioned training. So

1070
00:40:43,883 --> 00:40:45,494
who are the people

1071
00:40:46,440 --> 00:40:46,940
in

1072
00:40:47,319 --> 00:40:49,339
in in the companies that should

1073
00:40:49,639 --> 00:40:52,780
be learning fabric or who will be the

1074
00:40:52,839 --> 00:40:54,599
the people who will learn it the fastest

1075
00:40:54,599 --> 00:40:55,400
or easiest.

1076
00:40:55,893 --> 00:40:56,132
Mh.

1077
00:40:57,403 --> 00:41:01,536
Well, anyone who's who has has responsibility for

1078
00:41:01,536 --> 00:41:04,239
the data itself and and understanding what's going

1079
00:41:04,239 --> 00:41:06,405
on in it? That's a that's a natural

1080
00:41:06,405 --> 00:41:08,480
part. The other natural part is there are

1081
00:41:08,480 --> 00:41:10,954
people who just have an affinity for data.

1082
00:41:11,193 --> 00:41:13,522
There are people who just go Yeah. Kinda

1083
00:41:13,522 --> 00:41:15,595
interested in how that trend works or what's

1084
00:41:15,595 --> 00:41:17,270
the average of that or? What's... How do

1085
00:41:17,270 --> 00:41:19,025
we... What if we what if we grouped

1086
00:41:19,025 --> 00:41:22,236
things by this? There are people who have

1087
00:41:22,549 --> 00:41:25,258
that affinity for it that can really accelerate

1088
00:41:25,258 --> 00:41:26,714
their own internal careers

1089
00:41:27,170 --> 00:41:27,648
using it.

1090
00:41:28,684 --> 00:41:30,596
I... And I I'll put myself on the

1091
00:41:30,596 --> 00:41:33,634
lot as a first example. Somebody who came

1092
00:41:33,634 --> 00:41:36,095
from a pure Power Bi. I mean, give

1093
00:41:36,095 --> 00:41:38,159
me a pure power platform perspective,

1094
00:41:38,556 --> 00:41:41,200
but my experience and my excitement was around

1095
00:41:42,224 --> 00:41:44,370
I get excited early on about writing

1096
00:41:45,086 --> 00:41:47,335
import jobs and getting data into dynamics,

1097
00:41:48,266 --> 00:41:50,504
through imports, and for us and could... Some

1098
00:41:50,504 --> 00:41:52,567
a little bit about integration work there. I

1099
00:41:52,567 --> 00:41:54,550
got excited about the data going in and

1100
00:41:54,550 --> 00:41:56,772
out of the application. More so than I

1101
00:41:56,772 --> 00:41:59,086
was excited about laying out the forms on

1102
00:41:59,086 --> 00:42:00,987
the front end. Right? So I was excited

1103
00:42:00,987 --> 00:42:02,572
about that, and then I kept finding that,

1104
00:42:02,731 --> 00:42:05,441
oh, look, I can start... I can as

1105
00:42:05,441 --> 00:42:07,347
as excited I was about what was going

1106
00:42:07,347 --> 00:42:09,570
on inside of the power inside the application,

1107
00:42:10,126 --> 00:42:12,508
I could really get other people excited about

1108
00:42:12,508 --> 00:42:14,669
it as well by showing them the some

1109
00:42:14,669 --> 00:42:15,467
charts and graphs,

1110
00:42:16,106 --> 00:42:17,782
starting off with a really simple charts and

1111
00:42:17,782 --> 00:42:19,059
graphs that our end dynamics,

1112
00:42:20,177 --> 00:42:22,971
and then moving further into the Power bi

1113
00:42:22,971 --> 00:42:25,782
side, So anyone with an affinity of that

1114
00:42:25,782 --> 00:42:27,380
that wants to kinda move into,

1115
00:42:28,018 --> 00:42:30,915
an even higher value kind of a role

1116
00:42:31,148 --> 00:42:32,896
they'd be a a perfect candidate for it.

1117
00:42:33,135 --> 00:42:35,837
You don't have to start with some deep

1118
00:42:35,837 --> 00:42:38,777
knowledge of of all kinds of data science

1119
00:42:38,777 --> 00:42:41,180
or anything like that. Again, like I mentioned

1120
00:42:41,180 --> 00:42:44,287
earlier, my coding level is at kinda peaks

1121
00:42:44,287 --> 00:42:45,960
out at sql statements.

1122
00:42:47,235 --> 00:42:49,147
You know, And if you're comfortable to seat

1123
00:42:49,147 --> 00:42:51,636
writing us you know, select statement off of

1124
00:42:51,636 --> 00:42:52,035
this and,

1125
00:42:52,993 --> 00:42:54,749
select and filtering out what you don't need

1126
00:42:54,749 --> 00:42:56,905
and picking out the records you need. Then

1127
00:42:56,905 --> 00:42:58,262
you got all the skills you need to

1128
00:42:58,262 --> 00:42:58,740
be

1129
00:42:59,474 --> 00:43:01,551
to jump in with it. So that's kind

1130
00:43:01,551 --> 00:43:02,989
the that's kind of the area that I

1131
00:43:03,149 --> 00:43:06,239
I love and on excitement. Awesome. So

1132
00:43:06,838 --> 00:43:09,309
everyone who loves data, fabric is for you.

1133
00:43:09,947 --> 00:43:12,418
Absolutely. Yeah. And you're just if you're just

1134
00:43:12,418 --> 00:43:13,455
curious about data,

1135
00:43:14,252 --> 00:43:16,178
you know, we Well, that times we...

1136
00:43:17,053 --> 00:43:19,041
When we're on the sales perspective, and when

1137
00:43:19,041 --> 00:43:20,178
we're selling dynamics,

1138
00:43:21,110 --> 00:43:21,826
to customers.

1139
00:43:22,398 --> 00:43:24,950
At least back from my my dynamic sales

1140
00:43:24,950 --> 00:43:26,146
day, my Gb days.

1141
00:43:27,262 --> 00:43:29,335
I knew that I could show the... How

1142
00:43:29,335 --> 00:43:30,850
did the power platform works.

1143
00:43:31,423 --> 00:43:33,338
To the people who would be actually using

1144
00:43:33,338 --> 00:43:35,014
it, who would be hands on every day,

1145
00:43:35,253 --> 00:43:36,769
and I could show how easy it made

1146
00:43:36,769 --> 00:43:37,647
those transactions.

1147
00:43:38,699 --> 00:43:40,136
But at the end of the day, there

1148
00:43:40,136 --> 00:43:41,653
were somebody sitting in the corner of the

1149
00:43:41,653 --> 00:43:44,368
room that was gonna sign the contract for

1150
00:43:44,368 --> 00:43:46,922
us. And could be honest, that person was

1151
00:43:46,922 --> 00:43:49,408
never gonna go into dynamic. And create records.

1152
00:43:49,885 --> 00:43:52,269
Yeah. And it was when I started saying,

1153
00:43:52,508 --> 00:43:54,495
okay. Let's... I could show the people who

1154
00:43:54,495 --> 00:43:55,926
are gonna be using it how valuable it

1155
00:43:55,926 --> 00:43:57,452
is, then let's also take a look at

1156
00:43:57,452 --> 00:43:59,146
the data that's being accumulated

1157
00:43:59,680 --> 00:44:02,089
and processed. And let me show you

1158
00:44:03,434 --> 00:44:05,672
what that what that what how that helps

1159
00:44:05,672 --> 00:44:08,469
you see what's going on inside your business

1160
00:44:08,469 --> 00:44:09,507
in a visual way.

1161
00:44:10,226 --> 00:44:12,637
And see it in ways it that aren't

1162
00:44:12,637 --> 00:44:14,471
obvious just looking at a bunch of numbers

1163
00:44:14,471 --> 00:44:15,029
on a screen.

1164
00:44:15,746 --> 00:44:17,581
How does that solve your problem as well?

1165
00:44:18,059 --> 00:44:20,552
That's when we, you know, just kept accelerating

1166
00:44:21,184 --> 00:44:24,536
the the the people would realize, that this

1167
00:44:24,536 --> 00:44:26,872
is a does a true value for. So

1168
00:44:26,931 --> 00:44:29,658
across this these 2 tools. 1. Yeah. Again,

1169
00:44:29,817 --> 00:44:31,168
I get excited about it I get wound

1170
00:44:31,168 --> 00:44:31,884
up. Yeah.

1171
00:44:32,838 --> 00:44:33,951
Like with titanic.

1172
00:44:34,586 --> 00:44:36,597
Yeah, I get to go to the Titanic

1173
00:44:36,653 --> 00:44:37,153
museum

1174
00:44:37,464 --> 00:44:39,300
Like, when I was in the Northern Island

1175
00:44:39,300 --> 00:44:41,934
went to Belfast, and there's a titanic museum.

1176
00:44:42,094 --> 00:44:43,610
We gotta walk through it and

1177
00:44:44,169 --> 00:44:46,499
I was really excited about that. Yeah. I

1178
00:44:46,499 --> 00:44:48,837
mean, you've done so many talks with

1179
00:44:49,216 --> 00:44:52,891
titanic data as the demo. Right? It was

1180
00:44:52,891 --> 00:44:54,410
was a lot of fun. That was just

1181
00:44:54,410 --> 00:44:55,859
a It was a... It was 1 of

1182
00:44:55,859 --> 00:44:58,644
those that I built 1 weekend. I was

1183
00:44:58,644 --> 00:44:59,860
sitting at home and

1184
00:45:00,634 --> 00:45:01,668
I was trying to think of how am

1185
00:45:01,748 --> 00:45:04,547
I gonna present these 2 tools together. It

1186
00:45:04,547 --> 00:45:07,648
was for a focus, a dynamics focused conference.

1187
00:45:08,364 --> 00:45:11,226
Years going 8, 09:10 years ago. Got excited

1188
00:45:11,226 --> 00:45:12,816
about it. I thought, well, I try to

1189
00:45:12,816 --> 00:45:14,824
think of this and And I had seen

1190
00:45:14,824 --> 00:45:17,541
somebody do a machine learning demo on the

1191
00:45:17,541 --> 00:45:18,440
the titanic,

1192
00:45:19,459 --> 00:45:21,217
the passenger list of the and they did

1193
00:45:21,217 --> 00:45:22,815
a machine learning demo on it. I thought,

1194
00:45:22,975 --> 00:45:24,989
what? Maybe that that data is available and

1195
00:45:24,989 --> 00:45:27,710
we try. And so I'd put it into

1196
00:45:27,710 --> 00:45:29,570
dynamics and created a Crm

1197
00:45:30,030 --> 00:45:32,763
application with the passengers and crew and created

1198
00:45:33,242 --> 00:45:35,157
you know, attributes like, what, you know, their

1199
00:45:35,157 --> 00:45:38,270
first class passenger, a crew, etcetera. And then

1200
00:45:38,749 --> 00:45:40,265
ingest all the data the Power bi,

1201
00:45:40,838 --> 00:45:41,314
And

1202
00:45:42,187 --> 00:45:43,615
the whole thing was kind of a... It

1203
00:45:43,615 --> 00:45:44,885
was a little bit of a silly. I

1204
00:45:44,885 --> 00:45:46,235
mean, it's a little silly of fun. You

1205
00:45:46,235 --> 00:45:48,378
know, kind of fun. But the fun part

1206
00:45:48,378 --> 00:45:49,275
about it was

1207
00:45:49,744 --> 00:45:50,880
customers would

1208
00:45:51,337 --> 00:45:53,248
set aside trying to keep track of all

1209
00:45:53,248 --> 00:45:55,001
the product names I would admit. They kept...

1210
00:45:55,161 --> 00:45:56,754
They could... We could all... We could ignore

1211
00:45:56,754 --> 00:45:58,506
the names of the products and just talk

1212
00:45:58,506 --> 00:46:01,179
about the the solution and talk about the

1213
00:46:01,239 --> 00:46:02,380
information. And

1214
00:46:02,759 --> 00:46:05,559
it helped lower the... We could just focus

1215
00:46:05,559 --> 00:46:07,000
on what we have. And then we... Once

1216
00:46:07,000 --> 00:46:08,199
we got through the process,

1217
00:46:08,695 --> 00:46:11,015
And I would build a, mobile app for

1218
00:46:11,015 --> 00:46:12,855
it so you could check in and see

1219
00:46:12,855 --> 00:46:13,414
whether you...

1220
00:46:14,775 --> 00:46:16,387
And if you were a high risk passenger,

1221
00:46:16,706 --> 00:46:18,618
machine learning would flag you, and they would

1222
00:46:18,618 --> 00:46:21,247
give you additional instructions, all this kind of

1223
00:46:21,247 --> 00:46:22,283
fun stuff that we would do.

1224
00:46:23,557 --> 00:46:25,963
And at the end of it, we could

1225
00:46:25,963 --> 00:46:27,880
just circle back and say, you know, here's

1226
00:46:27,880 --> 00:46:29,317
how we did all this, and here's the

1227
00:46:29,317 --> 00:46:31,312
tools we use. And these are the same

1228
00:46:31,312 --> 00:46:32,829
tools we're talking about using for your business.

1229
00:46:32,989 --> 00:46:34,505
It's just a different use case.

1230
00:46:35,718 --> 00:46:37,556
And it was fun to do. But now

1231
00:46:37,636 --> 00:46:39,713
I realized that last time I demoed it.

1232
00:46:40,032 --> 00:46:42,050
I demo to a group of college students

1233
00:46:42,442 --> 00:46:44,900
And I realized that the movie came out

1234
00:46:44,900 --> 00:46:46,644
before these college students were born.

1235
00:46:48,706 --> 00:46:49,023
Really.

1236
00:46:50,309 --> 00:46:51,824
Oh, anyway. It a good time.

1237
00:46:52,621 --> 00:46:56,130
If Of the episode. Yeah. You're all we're

1238
00:46:56,130 --> 00:46:56,450
old.

1239
00:46:57,088 --> 00:46:58,045
We're old. Yeah.

1240
00:47:00,134 --> 00:47:00,634
We're?

1241
00:47:01,572 --> 00:47:03,729
So where do I go if I wanna

1242
00:47:03,729 --> 00:47:05,087
learn more about

1243
00:47:05,726 --> 00:47:06,445
Microsoft fabric?

1244
00:47:06,939 --> 00:47:08,847
So there's a there's a tremendous amount of

1245
00:47:08,847 --> 00:47:11,391
learning material learn dot Microsoft dot com. Standard

1246
00:47:11,391 --> 00:47:14,174
bees, places that that location would be the

1247
00:47:14,174 --> 00:47:16,423
place. If you wanna know more about

1248
00:47:17,292 --> 00:47:19,445
how fabric and dynamics work together.

1249
00:47:20,164 --> 00:47:22,476
I've got a few pages in learn, but

1250
00:47:22,556 --> 00:47:24,869
I've also got some Youtube videos that I

1251
00:47:24,869 --> 00:47:27,758
focused just on this particular topic. Really just

1252
00:47:27,758 --> 00:47:30,235
trying to break it into small nugget sizes

1253
00:47:30,235 --> 00:47:32,713
and say, here's how you configure it. Here's

1254
00:47:32,713 --> 00:47:34,311
how you can use this Or here's how

1255
00:47:34,311 --> 00:47:36,321
you can do this type of little trick

1256
00:47:36,321 --> 00:47:38,232
with it. And so you can go to

1257
00:47:38,232 --> 00:47:40,621
my Youtube. I'm not a Youtuber, but I

1258
00:47:40,621 --> 00:47:42,214
do a few things here and there just

1259
00:47:42,214 --> 00:47:44,936
to keep it. Honestly, because some of that

1260
00:47:45,333 --> 00:47:47,320
Microsoft documentation gets a little dull trying to

1261
00:47:47,320 --> 00:47:49,466
read it all. So I thought I would,

1262
00:47:49,784 --> 00:47:51,452
I would liven it up a little bit

1263
00:47:51,452 --> 00:47:52,963
and create some short quick videos.

1264
00:47:53,614 --> 00:47:55,286
That... Then if you wanna know more about

1265
00:47:55,286 --> 00:47:56,560
it, you can go read about it, but

1266
00:47:56,560 --> 00:47:58,869
at least get you it. Awesome. We'll, we'll

1267
00:47:58,869 --> 00:47:59,688
put everything

1268
00:48:00,303 --> 00:48:02,309
all the links in the show notes. So

1269
00:48:02,467 --> 00:48:04,934
Peter. And Okay. I've put some stuff on

1270
00:48:04,934 --> 00:48:07,480
on, Linkedin pretty fairly regularly.

1271
00:48:08,355 --> 00:48:09,867
And if you wanna connect with me in

1272
00:48:09,947 --> 00:48:11,951
Linkedin, I do have it set so you

1273
00:48:11,951 --> 00:48:14,021
need my email address, and my email address

1274
00:48:14,021 --> 00:48:16,011
is just Scott that su at Microsoft dot

1275
00:48:16,011 --> 00:48:17,922
com. Just put my email address in and

1276
00:48:17,922 --> 00:48:19,409
connect with me, and I'm happy to do

1277
00:48:19,690 --> 00:48:20,969
but I was getting a lot of spam

1278
00:48:20,969 --> 00:48:22,969
at first. So I thought, I'll put that

1279
00:48:22,969 --> 00:48:25,289
with that. It just doesn't... It's not not

1280
00:48:25,289 --> 00:48:26,569
that big a secret. You can figure out

1281
00:48:26,569 --> 00:48:27,940
my email address pretty easily.

1282
00:48:28,498 --> 00:48:28,737
Yeah.

1283
00:48:29,453 --> 00:48:30,887
But I'm happy... And if you have any

1284
00:48:30,887 --> 00:48:34,390
good customer cases or challenges as well, That

1285
00:48:34,390 --> 00:48:35,426
would be good to get you.

1286
00:48:36,159 --> 00:48:36,478
Love it.

1287
00:48:37,355 --> 00:48:39,510
Do you have any public speaking scheduled?

1288
00:48:39,988 --> 00:48:41,664
So I've got a be at the Power

1289
00:48:41,664 --> 00:48:43,021
platform Conference in Vegas?

1290
00:48:43,514 --> 00:48:45,503
And we're gonna talk about the

1291
00:48:46,139 --> 00:48:49,105
this data act activate, the real time intelligence

1292
00:48:49,559 --> 00:48:51,628
loop. Nice Bringing that in. So I'm gonna

1293
00:48:51,628 --> 00:48:52,239
have that,

1294
00:48:52,677 --> 00:48:54,052
in Vegas. And then

1295
00:48:54,825 --> 00:48:58,269
I think the the following week is

1296
00:48:59,773 --> 00:49:00,489
actually between...

1297
00:49:01,204 --> 00:49:02,795
Okay. It's gonna be crazy wait. I saw

1298
00:49:02,954 --> 00:49:05,182
Vegas, and then I fly out of Vegas,

1299
00:49:05,340 --> 00:49:06,693
and I get a I need to go

1300
00:49:06,693 --> 00:49:07,670
to stockholm

1301
00:49:08,219 --> 00:49:09,576
for the fabric conference,

1302
00:49:10,055 --> 00:49:12,050
and I'll speak at fabric conference for a

1303
00:49:12,050 --> 00:49:13,987
day or 2 and then fly over to

1304
00:49:14,285 --> 00:49:15,882
Oslo for the Nordic Summit.

1305
00:49:16,934 --> 00:49:18,290
And this is all in a period of

1306
00:49:18,290 --> 00:49:20,523
2 weeks. So it kinda all over the

1307
00:49:20,523 --> 00:49:22,597
place. But, yeah, That's those are my upcoming...

1308
00:49:23,076 --> 00:49:24,751
That's what I'm looking at right now. I've

1309
00:49:24,751 --> 00:49:26,686
also got 1 here in the states at

1310
00:49:27,157 --> 00:49:28,509
a, tech conference in,

1311
00:49:29,146 --> 00:49:31,771
Saint Louis, which will be a pretty wide

1312
00:49:31,771 --> 00:49:33,521
spectrum of people from a lot of different

1313
00:49:33,521 --> 00:49:35,844
technologies, but I'm gonna try to help you

1314
00:49:35,844 --> 00:49:37,925
know, get them excited about the power platform

1315
00:49:37,925 --> 00:49:40,005
and how to... How cool it is and

1316
00:49:40,005 --> 00:49:41,605
how they can really take advantage of the

1317
00:49:41,605 --> 00:49:42,724
data that's in it. Nice.

1318
00:49:43,618 --> 00:49:46,317
Do you have any recommendation on a future

1319
00:49:46,317 --> 00:49:48,008
guest on this podcast?

1320
00:49:48,619 --> 00:49:50,286
Oh, goodness. She caught me off guard.

1321
00:49:51,414 --> 00:49:53,172
Always love talking to Joel Lin, but, you

1322
00:49:53,172 --> 00:49:54,132
know, the... He's around.

1323
00:49:54,931 --> 00:49:56,050
There's a lot of folks that are on

1324
00:49:56,050 --> 00:49:57,248
the on the comp... On the

1325
00:49:58,128 --> 00:50:00,445
in the community that I I just get

1326
00:50:00,445 --> 00:50:03,097
somebody... There's This... I love this community.

1327
00:50:03,657 --> 00:50:05,894
I love this community because there's so many

1328
00:50:05,894 --> 00:50:07,832
really good and interesting fun people

1329
00:50:08,211 --> 00:50:09,510
that all have

1330
00:50:09,824 --> 00:50:12,381
something to share, and are all passionate about

1331
00:50:12,381 --> 00:50:15,338
sharing it. Yeah. But it was all about

1332
00:50:16,057 --> 00:50:18,789
Program and creating more Mvp p's for Yeah.

1333
00:50:19,027 --> 00:50:22,209
The longest time. So, yeah. He's I would

1334
00:50:22,209 --> 00:50:24,914
be he's still active in the in the

1335
00:50:24,914 --> 00:50:25,232
space.

1336
00:50:25,723 --> 00:50:28,262
Yes, sure. Gotta dial back the Mvp... The

1337
00:50:28,421 --> 00:50:29,690
Mvp side of the things.

1338
00:50:30,483 --> 00:50:32,387
But I'd tell you that I... I've had

1339
00:50:32,387 --> 00:50:34,315
a text chat with Joel,

1340
00:50:35,272 --> 00:50:38,382
and with Ben Walmart going for about 8

1341
00:50:38,382 --> 00:50:40,057
years, I think, or 10 years. We've had

1342
00:50:40,057 --> 00:50:41,812
this chat this chat going on. It's been

1343
00:50:41,812 --> 00:50:42,530
pretty hilarious.

1344
00:50:43,661 --> 00:50:44,297
My wife goes,

1345
00:50:45,094 --> 00:50:47,245
she'll hear something it'll ding, and I'll start

1346
00:50:47,245 --> 00:50:49,954
laughing. As goes from Joel and Ben. I

1347
00:50:49,954 --> 00:50:50,431
was said, yeah.

1348
00:50:52,358 --> 00:50:54,505
Yeah. It's a it's a there's a lot

1349
00:50:54,505 --> 00:50:56,731
of good folks in this community that really

1350
00:50:56,731 --> 00:50:56,969
have,

1351
00:50:58,003 --> 00:51:00,706
both have good information and knowledge, but also

1352
00:51:00,706 --> 00:51:02,630
a real heart to just be helpful to

1353
00:51:02,630 --> 00:51:04,777
other people. Excited about. Absolutely.

1354
00:51:05,494 --> 00:51:08,198
Yeah. Thank you for participation in Serum Brooks.

1355
00:51:09,009 --> 00:51:10,918
I enjoyed it. Thank you for the conversation.

1356
00:51:11,157 --> 00:51:13,862
I've enjoyed sharing with you, and and

1357
00:51:14,499 --> 00:51:16,090
it's a it's a fun space to be.

1358
00:51:16,503 --> 00:51:19,202
Yeah. So that's how the guests can reach

1359
00:51:19,440 --> 00:51:21,822
Scott su molly and how can they reach

1360
00:51:21,822 --> 00:51:25,157
us? Yes. They can go to Facebook and

1361
00:51:25,157 --> 00:51:27,877
search for serum Rocks or they could go

1362
00:51:27,877 --> 00:51:28,775
to Linkedin,

1363
00:51:29,230 --> 00:51:33,130
also serum rocks, follower page or you could

1364
00:51:33,130 --> 00:51:35,255
find us where you listen to me pot

1365
00:51:35,374 --> 00:51:35,693
casts.

1366
00:51:36,251 --> 00:51:38,960
Yeah. So thank you for listening and see

1367
00:51:38,960 --> 00:51:41,032
you next time on sam him rocks.