Hello Microsoft Fabric – Ep. 218

Microsoft just dropped Fabric, and it immediately sparked the kind of conversations we haven’t had since some of the earliest Power BI ‘wow’ moments.

In Ep. 218, Mike, Tommy, and Seth walk through what Fabric is really aiming to be: a unified analytics platform that brings more of the upstream engineering story into the same ecosystem Power BI teams already live in—along with the responsibility to govern it and manage capacity intelligently.

News & Announcements

• Microsoft Fabric overview — The official platform overview and the fastest way to understand what’s included (and what’s being unified).
• OneLake overview — Why having a shared lake foundation matters when multiple teams and workloads need to collaborate on the same data.
• Direct Lake overview — A key capability for BI teams: query Delta tables directly while keeping the semantic model experience.
• Turn Microsoft Fabric on or off — The tenant-level switch (and the kind of setting every admin should review before broad enablement).

Main Discussion

Fabric feels like Microsoft taking the things the Power BI community already knows—workspaces, semantic models, Power Query, and the report layer—and surrounding them with a first-class engineering platform that’s designed to scale.

Key takeaways from the episode:

• Fabric’s value is the unification: fewer tool boundaries and fewer ‘handoff’ moments between engineering and BI when you’re trying to ship analytics.
• The hard part isn’t learning features—it’s building the decision framework for when to use Lakehouse vs. Warehouse vs. pipelines vs. notebooks for a given use case.
• Expect new role definitions: ‘Power BI person’ is already a wide title, and Fabric makes the skill matrix broader (and blurrier).
• Governance has to come first: without structure (domains, workspace strategy, ownership), the workspace becomes a buffet of objects with unclear purpose.
• Capacity and cost awareness becomes everyone’s job; increased accessibility also increases the odds of accidental heavy compute usage.
• If you’re a tenant admin, review Fabric tenant settings and trial policies before enablement becomes widespread.
• OneLake + Delta + Direct Lake are the big architectural story: shared data foundations with BI-friendly performance paths.

Looking Forward

Fabric is still early, but the teams that experiment deliberately—while putting governance and capacity guardrails in place—will get the upside without the chaos.

Episode Transcript

0:02 [Music] foreign good morning everyone welcome back to the explicit measures podcast with Tommy

0:33 the explicit measures podcast with Tommy Seth and Mike hello good morning man I am I am awake and ready to go this morning it’s almost like I’ve been up for a while [Laughter] that is a precursor too we just did a recording for another video and so there’ll be an episode recorded next week so I haven’t slept since the fabric announcements yeah yeah oh yeah that’s what I meant air into the events I gotta be honest when I after that was it Tuesday when a lot of things got announced I was very hyper and I had a

1:06 announced I was very hyper and I had a hard time going back to sleep there’s been very few times where I’ve been so extremely excited about things I felt like I think I said this before before there are times where when Microsoft wasn’t originally building power bi desktop there’s a lot of features that came out that were like wow that’s cool I’m really excited about this I’m looking forward to using this and there’s a lot of excitement moments around what was happening in power bi over the last couple years they’ve they’ve had to like just build out the features create better features on top of the existing ones so I feel like the

1:37 of the existing ones so I feel like the improvements were okay but they weren’t like revolutionary this was like truly excited about like what’s happening here I was like really really excited about what’s going on you you’ve grown a lot fine why gray hair is when we’ve all grown a lot different ways ways no the no the the win during that time is is when you had a singular bird you said all the time and it got to the point where I was like not everything is that not

2:07 like not everything is that not everything is that like Game Changer yeah and and now like you’re you’re using it very sparingly and even during a very exciting time so I I think that’s I think that shows a lot of maturity Mike Come Along come a long way but yeah it’s your point that’s just the facade your point like yeah man everything was a game shape everything was it was it was wow that’s such a huge quality of

2:37 was wow that’s such a huge quality of life Improvement the introduction of bookmarks was a huge shift and like what you could do in the report I think either either the maturity is grown or it’s just as the the immense amount of information we have to consume and how it’s going to change the landscape yeah business yes as we Implement these strategies it may come out again guys I’ve got this solution now in Fabric and it’s a game changer yeah yeah honestly I foresee a lot of that coming this would

3:07 foresee a lot of that coming this would actually be the only game changer we’ve actually had if you actually broke down the words the words because not to be redundant but this is literally changing the entire game while other things were maybe changing a few rules tweaking things this is literally like we’re almost playing a different sport now that’s a much better way of looking at it I think yeah you’re right everything else was like a rules changer and this this literally is changing changing as opposed to oh learn a little bit more Dax hey look there’s a new Dax function right now you’re like by the

3:38 function right now you’re like by the way you need to learn how to write a pipeline by the way you need to Learn Python like by the way here’s things called notebooks you’ve never seen these before but here now you can do data engineering on this this is a bit like we’ve been playing tennis and then someone gives you a baseball bat and says good luck well baseball doesn’t really really fall short in my in my realm but well some of us can it’s like someone gave you like [Laughter] excellent so we got a couple introductions so the community

4:09 introductions so the community has been abuzz about this and and you has been abuzz about this and and again it’s one of these things know again it’s one of these things where every blog I see right now is like so you’re overwhelmed with with fabric where do you start how do you learn it what’s what’s going on so we found a couple of some really helpful content creators generating some really relevant links here this is this is actually like cool so in chat right now there the question is I’m going to need to put to a business case through to persuade management to invest in Ms fabric where do I even start we

4:41 in Ms fabric where do I even start we need this and we actually have power bi park with us who posted a linked on LinkedIn which is a fantastic summary exactly so we’re gonna we’re gonna drop that link in the in the chat and head over and check out his post which summarizes like the announcement he’s got a bunch of links there sessions to watch which we actually did reaction video too earlier this week which was the Christian Wade and Zoe

5:11 Christian Wade and Zoe one around Empower every bi professional and do more with fabric fantastic video yeah if you want some Talking Heads in it you can watch ours otherwise just go go watch them all the Microsoft materials like the the really key top Parts and then underneath that mvp blogs that have been put out thus far if you want to go all the way to the end for a comprehensive view once again Kurt Bueller crushing it crushing it rushing it right from a hey how do you

5:42 rushing it right from a hey how do you validate all of these thoughts and all of these releases of things that are happening in fabric that that you would want to be aware of or like the big changing game ones he’s got a a PDF and a quick blog so check out Kurt Bueller’s post but that’s also in that LinkedIn article by power bi Park so awesome awesome posts NJ and appreciate that one but that that certainly will help a lot of people just start in different places

6:13 just start in different places related to all the different announcements related to Fabric and everything that’s come out this week I don’t know how Kurt can stay on top of things so much the stuff that he produces how much he produces the the graphics and the interesting feature like it’s so rich I just really like his stuff so I’d highly recommend there is a p again you mentioned it Seth but the PDF is really the gem on that blog article from from Kurt there is and I really like how he organized it there is multiple areas

6:44 he organized it there is multiple areas that you should be thinking about data things data stuff right so there is the ingest and transform there’s model analyze and we visualize how do you deploy then you think about govern and then you can consume and take action so he did a really good job of really I think these are the core functionalities as to be really distilled down bi and bi developments to its Essence in these main topics and then shows you hey here’s all the tools you need to be aware of that you that

7:15 you need to be aware of that you that are going to meet these needs in these various ways so I thought it was really good good it’s funny because we always do obviously we have an agenda for our topics or that we Loosely follow but I think with the announcements today like I was trying to write it up and the only thing I put is a bullet point what the heck just happened because it when you look at what what Kurt did when you look at what NJ did the amount of content and not just content but the amount of probably

7:47 just content but the amount of probably game changing features within this yes is absolutely incredible where I’m not gonna lie it took me a long time to sleep on Tuesday night too because I’m trying to navigate the waters like where do we go from here and that’s my big question I gotta be honest Tommy called me during or around someone in the middle conference he’s like I’m freaking out what the heck do I need to learn all this stuff I’m like dude Tommy calm down calm down we’re all in the same playing field you weren’t getting nervous there’s no like you’re like there’s so much to

8:17 like you’re like there’s so much to learn now I feel like like how do I keep going I’m like I think I think we’re all in the same boat honestly I said like everyone’s everyone’s feeling this very few people I think were doing full-on data engineering development inside Azure and what you’re seeing now is you’re seeing a lot of these again none of these tools are in and of themselves revolutionary right everything has already been out right your pipelines that’s Azure data Factory right you have all the other services that are already existing maybe their skin with a little

8:48 existing maybe their skin with a little bit different naming but now what they’re doing is the I think the Revolutionary part is those are now going to be easily accessible inside the power bi environment and so yeah I agree the comments around data flow is Gen 2 oh my gosh way way better I really like them and what are they’re cool you say you say that you say this right but as as you are I’m thinking about how well prepared we are actually for digesting a lot of fabric because it’s an ecosystem

9:19 lot of fabric because it’s an ecosystem we’re very familiar with right we both want to do those parquet yes I I yeah I have one it’s just in in the standing platform called databricks right yeah there’s no exception so if you think about it there’s two points I want to dovetail on one is did they like they fabric is very similar to or at least in my mind the way power bi was built right you take known things like power query tabular models and you unify them

9:49 query tabular models and you unify them in a platform that allows you to extend and build visualization the whole visualization layer was new right but yes the underpinning of those Technologies was already there and then it enhanced in that tool fabrous seems very similar in that regard not in that they bolted these things together but they did but there’s an enhancement to to these so that it works end to end and it’s it’s in this public preview right where we’re

10:21 in this public preview right where we’re going to be stress testing whether or not that analytic solution from end to end works the way that we would assume it’s going to but there are a lot more tools and capabilities that are open to a lot more users within ecosystems that have been developer Centric that I think are just going to blow the doors off our conversations for a long time but also be where we’re going to be you be where we’re going to be walking through some of these know walking through some of these challenges and figuring things out as we go along I think that’s a great point

10:53 go along I think that’s a great point because up until now yes all the tools have been available but now they’re all in one place one central location that’s the point he raises the question of or

11:04 the point he raises the question of or what expert are you are you so is now this the expectation to know this where even if all these tooling it’s going to be very hard for one person to say I’m a Microsoft fabric expert or I’m a power bi expert that line is so much grayer now we’ve already struggled on this podcast and with others just to say what’s a power bi engineer what’s a power bi developer what’s a power bi expert and what that skill level is what the knowledge is Seth you’re one of the only people that

11:35 Seth you’re one of the only people that actually said here’s a knowledge Matrix but that’s still there’s no defined titles there’s never have a new one right yeah right yeah it’s going to be a little wider columns but there’s never been defined titles in our industry if you were to say I need a higher power bi expert that’s a wide range now that becomes a lot more grayer to me and I think that’s a huge part of this this I think I think it’s not about the cell just Alex I’m a fan hilarious

12:09 I guess I guess so what’s interesting to me is like I’m am I still a power Bier or is is are all these Technologies part of the fabric and I don’t know right I am I are we all Fabricators now I’m still I’m still a power bior dude there’s so much I guess there’s so many good things happening in the chat I know but I want to back up to like one what the comment I made right about us being like in a position where we understand everything that goes is going on what what do you think specifically Mike

12:39 what do you think specifically Mike right are some of the core maybe pillars that you’re relying on that people who have no idea about these architectures how things are stored or the capabilities of some of this Azure or Cloud native kind Azure or Cloud native implementations that are that are are of implementations that are that are are hard to grasp or people should like first first get up to speed on along with understanding how fabric works

13:09 understanding how fabric works does that make sense ish yeah so so so I’ll say so coming from the world I’ve been building so this one of the reasons why I’m really excited is this is Microsoft bringing a lot of Enterprise tools first and foremost right into Power bi and this is one of the things that we’ve very much been talking about on the podcast is there’s lacking this grow-up story of I’m the business I’m gonna hand something to another team and have them work on something you will notice in fabric there is an icon in the bottom left-hand Corner that is focused on hey there are different

13:41 is focused on hey there are different user personas that they’re trying to incorporate all into powerpay. com they’re talking about data Engineers they’re talking about data scientists so I think so your question set that directly was before looking at this world right when I was looking at when I was looking at this world as a person who’s developed this architecture outside of power bi and then at the very last moment I build synapse and then I go power bi to send apps boom I’m happy right so I was building Enterprise grade architectures around this and now I see all these things coming into this ecosystem

14:13 things coming into this ecosystem from an outsider’s perspective seeing this I’m I’m thrilled because there’s a lot of challenges around connecting these disparate Services together in a way that makes everything work for example you have data bricks you’ve got to link databricks to your storage account there’s some challenge there you’ve got to figure out how to make that mount the directory Mount of the folder so you can actually get the information in there this new world all that’s just taken care of if you want to add a v-net around a virtual Network around all these assets that gets more complicated

14:43 these assets that gets more complicated as well so for someone who’s coming in brand new brand new there’s been a lot of pain that’s already been removed from what this world is looking like and I think for a new person trying to sit back and learn okay where where does this stuff fit how do I start using this I don’t think the community yet understands exactly there’s not yet a white paper like what we need is like eventually the white paper of here’s how to use fabric efficiently here’s how to build environments efficiently there’s a lot

15:15 environments efficiently there’s a lot of things that I think about in the governance base that we now just got introduced to this we don’t have best practices yet so yeah for a new user I’d say go read up on the Microsoft documentation go follow their tutorials their tutorials are very well done I think that’s going to give you a good mindset around what you’re going to build build I do think many organizations need this many organizations want this Enterprise grade data engineering NBI platform one thing I’m a bit more skeptical about with

15:46 I’m a bit more skeptical about with fabric is I’m not so sure how robust it is in the data science space they keep saying there’s this data science Persona and I just I’m not maybe I don’t spend as much time on that story right now I’m focusing more on the data engineering the data warehousing but I I’m not sure that part of the stories fits very well for me that’s the big part of that that’s the machine like that was going to be the data science side that statement no I’ll disagree notebooks are just as good for data engineering as they are machine learning and data science that’s

16:18 machine learning and data science that’s their copycat basically they’re basically saying yeah we can do data science too because we also have notebooks we have the same infrastructure not saying that’s a good solution just I would tweak your words slightly they would they would say yes you can do data science because we have spark yeah spark is spark is the thing for data science right that would be the engine you’d want to use for well that’s python but yeah but I think spark is really the linchpin there for machine learning where we where are the proof will be in the pudding is where’s Microsoft automl sit in

16:49 where’s Microsoft automl sit in this thing where does where does the cognitive services that Microsoft already has where do they in this world I don’t yeah yeah to some but do you use them no like I don’t know like there’s they’re they’re there but like can they think about a better way for that data science Persona to build out what that looks like and someone just said with any model issue we can import and install models modules into our workspace which is insane thing like any module that I want to import in my workspace is not just these default

17:20 my workspace is not just these default python modules so if I want to put panda panda AI yes like I can easily incorporate that into the workspace which we’ll know for any notebook I create in that workspace so it’s a bit technical I I want to jump back on a big point that you said about the best practices sorry no no no no this is all there’s a lot to you this is all there’s a lot to unwrap here to me I think know unwrap here to me I think that’s going to be the I think that’s the hardest part for people because where where I’ve been wrapping my brain

17:50 where where I’ve been wrapping my brain is is it the amount of Technology right now that’s been released or is it the lack of roles that is the frustration or the stressor for a lot of people where it’s where do we go from here and I’m beginning to lean more that’s not so much all the technology and do I have to learn one Lake and I have to learn genflows 2 and the infrastructure I think for me it’s well where do I fit or where does an organization fit is it the same person doing all of this now is it

18:21 same person doing all of this now is it are there defined roles this was very different when databricks in Azure lived in a certain location and now it’s that gap of who’s doing what and who should be doing what that is to me the most ambiguous and the the St the stormyest Seas so to speak I I agree with this yeah but at the same time in the same way that power bi broke the model of business users being stuck in Excel and

18:53 business users being stuck in Excel and in their silos or not being able to consolidate information and increasing their capabilities to visualize data isn’t this doing the same thing like we’re opening the door like it’s about what what the production of something as opposed to who specifically is doing it right so so you’ve you’ve essentially it’s it’s made accessible a lot of these back ends and and the power behind them to generate end-to-end workflows which if we think about like who’s who’s doing

19:26 if we think about like who’s who’s doing the stuff it’s the individuals in the workspace right it’s the people that are aligned with creating value from data in that particular work stream I’m not saying that there’s not going to be heavy data engineering or modeling and now like those work very well or will work very well in this ecosystem because it’s all on the same objects right and then you have a power bi user but

19:57 and then you have a power bi user but if you have power bi users that are not even not familiar with a lot of the background conversations that we have in the same Enterprise spaces well now that door is open right like that door for them to learn those skills is there and pretty accessible right out of the gate right the the the challenge I have like in my mind with the current implementation is these are very robust Technologies these are platforms that

20:29 Technologies these are platforms that are designed scale and can scale very large which means you’re consuming capacity capacity but like do you guys feel like like yes it’s accessible yes we have these different tabs that people can create things we’re we’re modifying them and we have stateful objects and Delta tables but if if I have a lay user that doesn’t know what they’re doing and the visibility of how I see these things is just a list yeah have you guys seen is there any hierarchy or tree

21:01 there any hierarchy or tree diagram of how things are relate and this is where I’m lost because like my number one complaint right now is that yes the amount of objects that are going to be created in like how it’s not just infinitely turn into a swamp immediately if we don’t understand how things are getting built from an from just from an admin I’m not talking about controlling it but if if we’re if we’re 100 degrees what’s going on an ecosystem I just don’t see that visibility right now that’s a great point yeah I definitely think so right now already I’m already asking for they’re like in in the

21:33 asking for they’re like in in the sessions that come out of build they’re like what what would you guys like I’m like I need folders folders everywhere like I can’t have like you click just just by creating a lake right you turn on fabric you turn on a workspace with fabric attached just by making a lake you get three endpoints that it’s the lake it’s like a SQL endpoint and some other endpoint I’m like what the smoke is going on here like this is crazy it that there’s already three objects created when I just create one thing that’s confusing and so like then when you create a data flow three more

22:04 when you create a data flow three more objects are created and another three

22:06 objects are created and another three workers so with within creating two objects in my opinion I create a lake and I created a simple data flow in creating those two items I had all this junk just being immediately created I’m like whoa I don’t understand what all this stuff is I need to get my head around where these things are fitting and honestly a lake should be a single object you should be able to click on the lake object and be able to say oh I want to connect to this like via these points those should just be properties of that single object so it’ll be interesting to see where this is going to go I think there’s going to be some

22:37 to go I think there’s going to be some really interesting items here oh you mentioned domains that just appeared as well yeah that was another big point oh I was doing a lot of research on this yesterday and mostly around licensing because even when power bi came out that was my first place to go to I need to understand how like cost how things are are laid out right and and organized within the ecosystem and I think from what I read through in the in the documentation a a domain is a tenant right and you’re so it’s a one-to-one

23:07 right and you’re so it’s a one-to-one where the we used to call it it’s power bi tenant not your Azure tenant right so I can create a tenant which is the capacity capacity and within there there’s a one-run relationship with the domain right so I have a domain which is my capacity and I can have as many like multiple workspaces within that domain right but right so in the same way it’s the same principles we have right now where I’m assigning a workspace to my capacity my

23:37 assigning a workspace to my capacity my premium capacities it’s very indicative of like the same architecture there from the standpoint that I could have as many Pro or premium skuses I wanted right now and I divvy up workspaces into different ownership Realms right so I think they do a really good job of a diagram of how most organizations would work which is a single tenant right a single capacity that has multiple different workspaces within it within it and then multiple different domains

24:07 and then multiple different domains and tenants but essentially it’s the that’s the carving of you have you’re going to have these capacities tied to a domain and then the workspace is underneath her I think I almost wasn’t I wasn’t aware that you had a tie a capacity 2 domain I thought a domain was more like a grouping of just workspaces that’s what I believe it is too and then so you could have it you could have a capacity that spans across domains it’s just like hey these are crossed ones capacities oh so it’s the boundary it’s the boundary of the workspaces security

24:37 the boundary of the workspaces security I think yeah that’s correct and the other thing I thought was interesting too so for example like Finance right maybe that’s where it is okay maybe maybe there’s like an Enterprise like so there’s probably there could be like a P3 right there’s a P3 rolling around inside your environment right we need to carve out that P3 to different groups and the other thing around domains that I thought was interesting domains have their own properties in the admin portal so you can give an entire domain the same property and this is something that I think is missing right now in the admin settings because if you’re going

25:08 admin settings because if you’re going to do hey we only want this group of people to to export Excel or not export Excel based on the workspace setting now you can go into a domain and say okay here’s all the here’s all the workspaces that belong in this domain and then once you add them in then you can immediately turn off the setting for do not allow export in Excel and it’s like a global setting for that entire domain I think that’s going to be incredibly useful the only downside I see of domains is okay great we’re going to have lots of

25:39 okay great we’re going to have lots of domains appearing hopefully hopefully not but then how do I know what settings are turned on for each domain I really would like an API actually I’d like two apis right I’d like one API call to say give me my tenant settings what are all the settings across my entire tenant just list them out I don’t even need to change them just give me a read-only view of that and then the second thing is Now list me all domains and then tell me all the settings for each domain I don’t want to change them I just want to

26:09 don’t want to change them I just want to see them yeah I I think I I with moving past the domains quickly or unless you have more with the domains you remember our mind trap episode yeah yeah and I think for me it’s like I’ve been really getting more much more involved in data Engineering in the past probably 12 months with Azure and it’s it’s so much we talked about how easy it is to learn with copilot which actually to be with with the resources online

26:40 to be with with the resources online yeah but I think what the called the intimidating part now I think for I think for a lot of people it’s not how to do all this stuff that’s is easily I don’t want to say easily learned but there’s an easy ramp up time but it’s when like when do I create a lake house when am I going to create a Jupiter notebook when am I going to do this data Engineering in fabric compared to our normal systems that to me is the the big I think question here is not when not how do I do it but when do I do

27:13 when not how do I do it but when do I do it we are now given a plethora a buffet of options compared to the the Mind Trap of where we had like two you had four jellies to choose from we have now 25 different products to choose from and I think it’s like well when do I actually create this data engineering and fabric do I do that for all my use cases when does it when does a business case arise to going through this process and I think that’s a big part here that’s unanswered right now

27:47 so all of the all of the doors are unlocked yeah exactly users will will not know where to go is I feel like what you’re pointing out there tell me this is I think this is partly intentional by Microsoft to some degree degree because there’s this this this this fabric Thing is gonna I’m just looking at at a high level here right right if you have a p a premium SKU you’re talking more around analysis

28:17 you’re talking more around analysis services and you’re talking about depending on which premium skit you’re talking about you get access to the portal or not p1s you get access everything below that you don’t fine but like but like now with fabric you’re getting Azure data Factory you’re now getting spark notebooks you’re getting all these other things these other services that go along with the fabric piece there’s no way the price can be the same equivalent pricing of what it was in any premium SKU so there’s going to be an increase in spend at some level for using all these other enhancement features around fabric so you don’t even see that now

28:49 fabric so you don’t even see that now and it’s going to be very oh here’s another thing major major warning for everyone listening on the podcast if you are a tenant admin you must go into your power bi admin settings and if you want fabric to automatically turn on on July 1st it will so just be very mindful that there’s a setting at the very top of your admin settings now that says there’s it’s very confusing the message the message says there’s a check box that says we are initially turning off

29:20 that says we are initially turning off fabric until July 1st on July 1st we will automatically turn it on in order to change the setting you must acknowledge that you’ve read this uncheck the box and then you can manually turn on or off Fabric and if you did that then you can keep fabric off until you’ve actually are ready to release it to a group of people or an audience to actually play with or build things around fabric so I’d highly recommend if you are an admin make sure you go look for that feature in your

29:51 you go look for that feature in your settings and turn that off and the other part I’ll also put out here too if you allow users to create again users can go get a fabric trial so there’s another setting in the in the portal that talks about can users get a a free trial of powerbi. com if you leave that setting on and the fabric is turned on users will be able to turn on fabric whenever they want they’ll be able just to light it up so another feature that I would say is make sure that you are comfortable with what your organization is setting is doing for users can sign up for trials

30:23 doing for users can sign up for trials because there is no Pro trial there is no premium per user trial when you hit trial you get a full fabric all the things things all the doors are open trial anymore so those are the two features that are two settings from an admin perspective I would say would say check that setting right away so so Alex I like listen from a Microsoft perspective fabric super powerful right Boo enable fabric let your Fabricators run wild

30:57 being a guy who is weekly brought into Azure costs in an organization to just wildly say I’m going to implement this for every business user when they have absolutely no idea what they’re fighting up on the back end is fantastic for Microsoft not so great for organizations right so like hey love the enthusiasm yes we want people to leverage it and get use of analytics platforms but to just wildly

31:27 analytics platforms but to just wildly say that we’re gonna spool up all this stuff for every user and have my business user who has no idea what they’re doing consume all my capacity and and me not know why or figure it out on the Fly Like That is stuff that we have to solve and figure out during public preview and and frankly the preview stuff better not just go like boom instant like on my production systems yeah I’m talking like ID but it acts like the business and everybody

31:58 acts like the business and everybody pays bills too yeah the businesses always arbitrarily open up all these doors the business is gonna the business comes to systems and organizational units and says why are you spending this where’s my value right so as long as values produced in these ecosystems end to end 100 I’m on board with everything but to just arbitrarily say during a public preview where we don’t understand full costing or anything and understand whether or not public previews automatically going to grow into production these sorts of

32:29 to grow into production these sorts of conversations around administrating and letting people know how to turn or to toggle things off to protect organizations is absolutely part of the conversation yeah I poked me but I think so I think these are all really good really good points and again I think you’re right Seth if the value is there if I can if I can if I can do things quicker easier Faster by having my again but this to me this is this is more a SAS offering another to

32:59 this is more a SAS offering another to your point there Seth as well right another mental shift that’s occurring here that I think what fabric is pushing is there’s now this this concept of one lake is interesting to me right so when

33:10 lake is interesting to me right so when you turn on fabric this one lake is materialized for you and it’s available so in looking at that you now have this concept we don’t really have the concept of Dev test prod anymore and I think this is an infrastructure push that Microsoft is building now more and it just comes with a software as a solution a SAS offering you don’t really get to to pick the hardware for separation of different environments

33:40 separation of different environments what Microsoft I think is trying to push here or at least doing here in in a easy to use way right when we had so going back going back a little bit historically here right when we had a workspace and we needed to develop things and then push it to an app we’re like oh great this is a mess right I was changing a model and I was breaking my app items and assets because the app was pointing to the same data model inside the workspace so how do we solve that we use the same power bi service but then we made Dev test prod and then

34:10 we made Dev test prod and then deployment pipelines showed up and so now we have this ability to take the same assets and move them from one workspace to another to another and that becomes our Dev test prod however the info infrastructure on the back end is now all still the same so it’s very interesting to me to see there’s a trend here where we don’t necessarily build new infrastructures over and over again for these different environments for full separation instead now what we’re doing is we’re building a service that has a very deeply Integrated Security

34:41 has a very deeply Integrated Security element that is segmenting who can access the content or not but there’s a security thing that’s the security thing right like because security is going to have to control like which which Arena you’re in because you’re down to the table level to your point it’s the same ecosystem in previous like and I say previously because fabric breaks all that yes this this idea that not idea but this process by which organizations are

35:11 process by which organizations are physically segmenting data into different compartmentalized systems that have nothing to do with one another and then you deploy to the next system so there is never a possibility where production can interact with a test environment or a Dev environment because it’s it’s managed and controlled via the separation of those environments and what this is challenging is this is all the same environment but we have like through permissioning we’re segmenting out which people have access to

35:41 out which people have access to particular workspaces right and then we’ll have to figure out the deployment of like this this data to another you of like this this data to another another ecosystem know another ecosystem I think the thing you said about costs hit me Seth in a different way because when you think about the adoption of power bi from both the professional and the organization level why was that I the organization level why was that simple it’s behavior of cost where mean simple it’s behavior of cost where power bi was free to download and it was

36:11 power bi was free to download and it was free to publish yeah eventually you needed the pro licensing but to Showcase a proof of concept in power bi was so strength if we were the vlookup podcast in 2014 and power bi like right but like when power bi came out it would be like well let’s just try this power bi thing out right now and download and we can test it out and then showcase it this is not that story with the cost point of view that’s a huge part of this we’re like all these parts of the infrastructure

36:42 all these parts of the infrastructure are easily if you run start running it after July it’s a cost so it’s going to be very hard to do that development and test and proof of concept yeah and that’s where I think like my my first focus is are going to be around just being able to identify what parts of the organization are doing things but at the same time at the same time like you that that should align to different workspaces and whatnot yeah so I I do like Mike’s point though and there was something that you were saying in the the different technology Stacks

37:12 the the different technology Stacks or something that like yeah it’s if we think about Azure data Factory synapse yes usage of data bricks or even though they’re simplifying some of this in their ecosystem even in their Solutions it’s very technical you still have to set things up yes where where this is challenging my thinking of how we even do Enterprise things because we’ve been we’ve been talking about fabric from the business side but there’s there’s obviously the Enterprise component of this right yes data engineers and developers you get check-ins yes is this

37:45 developers you get check-ins yes is this to me is is and I haven’t fully groked it yet but new vernacular realm capacities and skus and we obviously need to understand cost but what this does even further is obfuscate or simplify core infrastructure things that we’ve had to set up to make things work right so even as we interact with like okay we see ADF is part of the synapse Warehouse lake house yes there’s different components of all these things but it’s very easy right yes and once we

38:17 but it’s very easy right yes and once we understand the underpinnings of how that gets delivered costs around them permissioning Etc like it I do love the fact that it’s like the next step of removing users from this configuration hell or like modification of different versions or do you have the right clusters or do you have the right you clusters or do you have the right things set up for Optimal know things set up for Optimal Performance and cost and maybe Microsoft’s figured that all out in here albeit we’ll have to trust the process

38:47 albeit we’ll have to trust the process here as far as like optimization of all of these pipelines to the point where that’s being Auto handled for us and all we really need to care about is the data because if we think about it all that infrastructure is just a byproduct of us wanting to manipulate and manage data and if that’s simplified in a form that’s digestible and or acceptable to business then that absolutely accelerates our jobs right from the standpoint of I’ve got to do this thing

39:18 this thing now I just navigate through these different things I spool up to like new pipeline new lake house modify it move it bam it shows up in my reports like the time to delivery is a massive business objective right yes and yes and this would greatly simplify it so I see the value absolutely it’s 100 core parts of this that we we’ve got a vet we’ve got to figure out we’ve got to understand along the way now this doesn’t to me I was gonna say this is the first time

39:48 I was gonna say this is the first time I’m seeing like the next piece here where this really does feel like the the power bi growing up story right so you power bi growing up story right so two things we didn’t really touch know two things we didn’t really touch on yet on yet is the get integration that’s coming with desktop and the workspaces yeah that’s a huge Enterprise solution that needs to be there if we’re talking like adoption of like I. T or other organizations or you’re talking certified content those pieces of elements make a ton of sense in the space now also looking at the

40:18 space now also looking at the directly connection right I’ve already been building for years for these companies I’ve been building years I’ve have Delta tables all over the place in my Lake already so now to bolt those things on and bring them right to power bi I’m super excited about with that so again to your point Seth this is adding a lot of really core functionality that’s bringing a lot of value to oh I can see the value right now with a whole lot less configuration with a whole lot less effort to get started I’ll still need some time to figure out how to how does proper Administration

40:49 how to how does proper Administration and governance look like and then again as as leaders in this space we’re trying to figure out okay how do we not let this thing just turn to math turn to a mess right I don’t want it to be a mess that way it is effective there’s value could be added but we don’t want it to be so crazy that it just falls apart and then no one can maintain it or use it correct so Tommy you’re trying to get me to hold off there you got some other pots pots but yeah but I think there’s there’s a there’s a question we have to ask and we need to answer before any of this really gets

41:20 before any of this really gets deployed and to me it’s where does this fit with Upstream in terms of if you were to think of roaches maximum is this part is this now the Upstream part if a business user or even it’s not citizen developer doing notebooks sorry but from building the one Lake building the this is the Upstream part yeah like spark data bricks right SQL Server like these these are the Upstream sources that we were talking about

41:55 you can do more of those transformations in those spaces and and now you’re even like so for example like direct Lake I don’t need I don’t need power query in the direct link experience per se I could use it if I want to I could go get data and put it down to the lake as a Delta table so I may use power query to generate the Delta table but there’s there’s a whole area here that is like the Upstream things of Matthew Matthew roach’s comment they’re now inside power bi as a data engineering story or as a data science story or as a pipeline

42:26 science story or as a pipeline these are all things that were Enterprise grade that are now being brought to our normal ecosystem of power bi so I’m really excited for that story so this all would in a sense qualify just in the same way if you’re building in data bricks or in synapse or in Azure this would still qualify to the same level if you’re building this indirectly I don’t understand your question there so from the Upstream point of view from the data engineering point of view if you’re building this in databricks or you’re doing the things in a lake in Azure this still qualifies to

42:58 lake in Azure this still qualifies to that same level this is still the same Credit in essence credentials the same this is Enterprise okay it’s I could say this is enter like if things you’re going to build in these pipelines things are going to build in spark notebooks thing you’re going to build in in one Lake as Delta tables sure this is the same I would be building this exact same material you’d be just using different tools I would be I’m already building it today I’ve been building it for years I’ve already been doing Azure data Factory I’ve already been doing spark I’ve already been doing data bricks right these are all things I’ve already been using and they’re proving

43:28 been using and they’re proving themselves for years now that this works it’s solid businesses find Value from it and I’m actually seeing Trends now of stuff that we’ve built proof of Concepts minimal vial products where companies are now removing analysis services in Azure getting rid of it they’re removing SQL server or talking about removing SQL Server from their architectures to go more towards the lake more towards what we have built out here so again I think this pattern is very robust and I think many large organizations with lots of

43:59 many large organizations with lots of data are very comfortable using this type of architecture how what’s interesting to me though is is is is the Persona of create a lake house and the Persona of create a warehouse

44:15 and the Persona of create a warehouse are those just the uis now like ultimately because all of the artifacts in one like our Delta tape right so isn’t it just hey you you have your flavor and you’re used to these ways of interacting with data but we’re storing it the same way so realistically like there’s there’s no difference in terms of like how like to me a SQL Azure SQL Warehouse it was a SQL Server right yes if I’m

44:45 was a SQL Server right yes if I’m playing in the lake I’m creating the file types and the Delta tables that I I care about but now since everything’s a Delta table isn’t it just the interaction of how I work with the data on that object because like to to justina’s walk through in in one of the the I think the keynote or a roon in Amir session right I create a SQL table or I’m in the warehouse section and I build out a table and I have a bunch of data and some of it’s got Goods in it so she jumps over to the lake

45:15 in it so she jumps over to the lake house to run a Jupiter notebook and clean up the data goes right back to where where she was yeah and it’s it’s cleaned so it’s the same object under the covers in one lane yes yes so real realistically or is this just like two different paths where we have hey you’re familiar with this scenario and interacting with data and you’re familiar with this yes in reality that’s the same thing same format yeah the question I was asking is that the same the Same album and it’s not necessarily the same output but it’s just a different UI but it’s going to qualify as the same because what you do in the

45:45 as the same because what you do in the data engineering space in Azure data bricks that’s not just for power bi and for reporting business yeah and this is where this is where my familiarity with the technology Stacks underneath the covers is is getting challenged right because we believe that there is is a fundamental need for people to understand how this stuff works and now I’m being challenged like is it is does it matter right is it or is it just

46:16 it matter right is it or is it just getting simplified so much and it it matters from like what’s a good point at the same time like in the same way that in two podcasts ago I was like hey if if you want to work in the cloud and you were a SQL DBA and ninety percent of your resume is how you manage SQL servers on premises that’s not applicable to me so is a lot of the things I know about these technology Stacks not applicable anymore because it doesn’t really matter it’s possible oh boy this is gonna okay you’re opening

46:46 oh boy this is gonna okay you’re opening a can of worms here on this one so the basic understanding of these systems and how they work is is is good how how we’ve operated in our plat like synapse platform data brick platforms like all that is it’s good knowledge we now know like deeper questions we can validate things understand where it’s coming from but at the same time like this simplifies a lot of that Tech stack hypothetically so so I think to your point there there

47:17 so so I think to your point there there is a portion of this that is yes we it this is simplifying a lot of what we need to understand part of a software as a Services there’s a lot of things under the hood that are happening like security networks linking things together like this this is part of the reason why I had problems with the well not problems these are one of the more friction based pieces of building this architecture on your own I got to get all the things to talk together I gotta get service principles built around I gotta you’re a bunch of things yep correct so from that perspective there’s a lot of like technical pieces that are being

47:47 like technical pieces that are being removed because yeah it makes sense this is a pattern where these Services make sense to be brought together because they’re they should be together in in lieu of that also I’ll also add you need they’re they’re all I think there will always be a deeper technical part of what we’re trying to accomplish right for example like a Delta table there may be a partition schema that is somewhat more efficient than a non-efficient partition schema on how you read the data or how do you secure

48:17 you read the data or how do you secure information based on role of security from powerbear ports down to the direct Lake what that looks like right that’s not out yet that’s not a feature they have today so there’s probably there always will be another layer deeper that’s more technical in nature but I think to your point Seth most of what fabric is trying to do is to try and bring many of these very technical pieces and bring it up a level okay we don’t we don’t need to write code we don’t need to go into Azure active directory and build a bunch of service principles we can now just click a button and then a lot of that happens

48:47 a button and then a lot of that happens for us automatically so I I feel like the trend here is there is a a portion of this where we’re talking about this feels like the power query UI that’s generating a whole bunch of code where we are able to interact with a couple button clicks and we are able to move a lot more code all at once there will behind that there’s still an ability to see a lot of extra code right you can have SQL endpoints you can have other stuff you want to do you’re getting more featured Rich capabilities on the back end but for 80 to 90 of your workloads

49:19 end but for 80 to 90 of your workloads you don’t probably need to go touch all that but there will be in individuals in your company or very technical leaders that are going to get really deep into this and be able to really tune and optimize on top of this what’s what’s I’m excited about it right because ultimately the only reason that organizations invest in infrastructure or architectures is because it solves some of the data problems that they need right like they need value out of these

49:49 right like they need value out of these systems and in the long run like I I think fabric is is a an amazing amazing like new new way in which we can interact with data and and provide that value faster and it’s just it’s an accelerator I think of in many cases where where it it challenges the status quo and what’s interesting not

50:19 quo and what’s interesting not interesting amazing about it is it is it’s it’s absolutely challenging the status quo of how things are done on an Enterprise level and throwing in and unifying unifying the business into an ecosystem that like if power bi challenged it this absolutely just smashes it if organizations let it let it let it ride it does I I I had that direct thought when when I was I at the end of watching some of these build sessions I walked upstairs and try to get a drain connected like I just need I need a break my mind’s just

50:50 need a break my mind’s just spinning right now of all the things and I thought there there are some I. T individuals right now that are rolling over in their seats they’re they’re just they’re just livid with what is this why are you like I can I could just totally see like this traditional thinking of I. T controls all this we held all the data like again I’ve been saying this for years the I think the traditional role of I. T has been shifting from we manage infrastructure to We Now manage access and accessibility of information and data and the the role of having to

51:22 and data and the the role of having to have a a team from the business go into it and say hey I need you to produce this table that is becoming less and less applicable and with fabric this makes a huge implication for I don’t you makes a huge implication for I don’t the business now doesn’t need it to know the business now doesn’t need it to build you a SQL Server I don’t need you to build me up I can build my own Lake I can build my own tables I can do my own shaping of data however I want and I don’t need the it group to jump in now will that process be 100 optimized will that process be very

51:52 optimized will that process be very performant proof is in the pudding here we’ll have to see how this pans out over time I think you’re going to need to be we will have potentially the same problem but we do in Excel right we get we give everyone Excel they go do their all their own data things and there’s a wide experience range of people who can do very efficient things in Excel and people who are doing very inefficient things in Excel regardless they’re getting to the same answer and so now we have to start questioning is all right right how much effort are we spending to maintain these more archaic things and

52:24 maintain these more archaic things and does that make sense and do we need to have time in our projects to come back optimize reload and clean what what is what is becoming I think more apparent to me is in and I think it was a keynote or quote somewhere where they one of the early adopters in in private preview I think was a chief data officer who was like I’m excited about becoming like actually being a chief data officer and not being a chief integration officer because if you think about like even in ecosystems today

52:55 about like even in ecosystems today essentially like there’s a lot of integration that we’re we’re trying to manage like you’re trying to connect to all these systems you’re trying to like pull these these data sets together to start to do something with it and and this starts to poke or break down those bridges because it reduces the like I said it reduces the time to actually getting to the data points that we can start to interact with and manipulate and work with and what a great opportunity honestly for the people who’ve been working in VI for so long

53:26 who’ve been working in VI for so long where the the we’ve talked about that grow up story where if there’s anyone that’s more in line or in position to really make use of this is the person who’s been that blend of understanding what the business needs but understanding the technology that limitation’s been I understand you try to standardize this I don’t have access to that because I’m not an I. T and now like Mike to your point I can go in in 30 minutes be able to build something

53:56 in 30 minutes be able to build something very structured using the knowledge and the skills I already have but I’ll build this upstream and do this in a way where if hey Marketing sales you’re trying to create your your quota table that’s been in Excel and we haven’t we’ve created a power bi but it only exists there well now I can actually make this exist in multiple locations it’s the output here that is going to be the biggest win where we have the skill we and there’s yeah some things to learn but again

54:27 yeah some things to learn but again rather than me creating something that was siled in a single report now I can have it actually exist in an upstream area where I have that knowledge of what the business that department needs are and how to standardize from a Tabler from a ERD system or a diagram and I can create that now Upstream so if there’s anyone who’s in better position it is a bi developer I agree I have the knowledge of both yeah and I think I think the opportunity is now larger and

54:57 think the opportunity is now larger and so we were talking about data analysts before I think we now have the capability of taking a data analyst and growing into a data engineer slash analyst now I think there’s more capable ability in the skill set now I don’t even know if that’s going to be the appropriate title because again it’s understanding those business needs I I

55:15 understanding those business needs I I can’t tell you in even the last two three actually four months projects and some clients I’ve worked on where they’re like in order for us to get this structure we have to go and request society and it takes about three months for them to actually put this in their data Lake and it’s like okay and that that push it’s like so it’s like all right let’s do this in power query in a data flow so we can have that structure but now again again good and bad there’s the fruit here is yeah as a mix but now I can create

55:46 yeah as a mix but now I can create that structure because I understand the business I’ve been my job has been that blend that think like business act like I. T my job is to be be a liaison for both worlds and that and that’s the key I think this is the key is this this tool is an enabler for someone to stand squarely in it and squarely in the business and communicate across those boundaries and this that was the linchpin of that was power bi power bi was the linchpin to have that initial conversation this is a tool that can be used 100 by the business and 100 by it

56:16 used 100 by the business and 100 by it both teams need this and we’re doing data work from one side and we’re now doing the powerba report building from the other side and now I liken this too you’re building a bridge from two sides and you need to meet in the middle and a lot of times I think this is a better Bridge system of being able to build find the data engineer the data and produce it there hasn’t been a single project I’ve ever been on that has that you can Trend you can connect to the transactional system and the data is already in the form you need for

56:46 already in the form you need for reporting like it’s just it’s just never there exactly there’s oh every project I’ve ever been on there’s always a data transformation step or data engineering stuff that needs to be applied in order to get the data ready for a a cube a model that could be used inside a power of airport it’s amazing yeah go ahead I think ultimately in terms of there’s so much more to talk about and I really want to talk about like some of the diff I’ll I’ll save the top because I don’t want to be real I I think what what’s exciting to me about Fabric and why it is unlike other individualized

57:18 why it is unlike other individualized Azure services that like people are talking about ADF synapse is what we talk about you have to know how to configure those things you have to set them up in an appropriate way and and those doors or those barriers to entry are removed with with the service and when you do that this falls into the same argument we make all the time about opening up opening up methods for us to have a community right engage Mike you talk about this in like Dax custom

57:48 you talk about this in like Dax custom functions are allowing us to like do things let us help you let me do something right fabric opens that door to business users and absolutely people are going to take advantage of leveling themselves up from an analyst to a developer or whatever because it’s not about having to have an understanding of setting up these systems and being able to configure them and being an environment that understands like how you would work within this ecosystem of this pulling data from here and then like shaping it do all those principles

58:20 like shaping it do all those principles still align yeah but you just remove the barrier for them having to go figure it out or get access to to that thing and they can go build it and figure it out as they go so it’s enabler it’s it’s enabling many more users within an organization to solve data problems and I think that’s what’s fun mentally different and also like drives the fundamental concerns or this rapid Discovery from all of us to try to understand what does that mean

58:52 try to understand what does that mean because Microsoft with power bi did it right and holy cow we’ve been talking about her for five years as far as like how do we adapt how do we adjust this is almost feels like a reset because it’s like oh my gosh you just opened this door door to a whole lot more people to solve data problems faster and quicker what does that mean how do we manage this how do we how do we build Solutions around this because it is different than all of these other tools as separate things that had separate people and separate

59:22 that had separate people and separate roles and now you’re you’re saying hey if you have if you have the hutzpah right that’s a valid word for this but if you have the drive go do it yeah yep yep yep I agree with this so yeah the last thing I’ll say and by the way great therapy session guys today for all this talk it through but the last thing I’ll say is I think for those others you hear a lot of this on LinkedIn I think even me initially too was like what do I have to learn now yeah I was nervous but

59:52 to learn now yeah I was nervous but my job is to learn things on the fly like my things are going to be an expert in new technology that’s always coming out this is just this is no different yeah it’s a little more expanded but I think the the biggest opportunity and again honestly we are in the best position this is perfect for the bi developer because the skill that’s harder to learn is something we’ve always talked about is that empathy it is still a huge part of this and now I just have the I now have more of the

60:24 just have the I now have more of the technology available to solve so many more problems I have so much of understanding what is the business needs are what are they trying to accomplish and now I have that technology to solve that in so many more ways oh man okay so I’m I’m yeah I like that that’s a great question a great responsor Tommy I’m I’m already moving on to what does chat GPT say so we’re gonna do a couple of responses here so I’m I’m now mixing a little bit here I’m doing a little bit of Bing chat and I’m also doing a little bit of like regular chat GPT because I know I know Bing chat

60:55 chat GPT because I know I know Bing chat actually is able to scan the internet for recent articles and things and kind for recent articles and things and use the internet as well so my of use the internet as well so my question to Bing chap was imagine you’re a business user working on a large Enterprise organization what are your main opinions about the newly released Microsoft fabric services for power bi and it gives a very nice kind power bi and it gives a very nice high level Microsoft is an of high level Microsoft is an Microsoft fabric is an end-to-end human-centered analytics experience okay fairly good this is what I thought was interesting it pulls out two websites according to

61:26 it pulls out two websites according to ratacad so radical you get a call out today you are in bing you are in Bing chat according to radicad the analytical power of the service provides data analysts to do more preparation more data modeling and more calculations the the combination of the visualization and and power bi gives more insights to the users so a pretty reasonable answer there I thought that was really good another call out from chat GPT was datamark datamark also got a call out so datamark explains that the the options are now to build reports

61:58 the options are now to build reports directly in the power bi service in workspaces and you can now easily create data sets and build reports on top of them using the fabric service so I I felt like that was a pretty good answer didn’t give me good opinions there and then I went over and I asked the same question to regular chat jpt and it said I’m just an AI engine I can’t do things and then it then it it gave me at least a sum answer and I said it did a good job I’ll give you a brief summary Microsoft fabric is a component-based

62:28 Microsoft fabric is a component-based framework designed to provide consistent users experience across Microsoft products which I thought was a that was a good way of putting it right there are many products that have different looks and feels this is trying to unify all that into one platform okay I agree with that one that one and then it gave it’s what it thought was the bullet points around why you’d want to use fabric white so first one was it has an enhanced visual appeal okay okay yeah other response it has consistency across the Microsoft ecosystem and I thought that was a good

62:58 ecosystem and I thought that was a good point you’re now looking at the same portal the same page I’m not jumping around Azure and workspaces and all things so I like that point I thought that was very well a very well built an improved user interface experience it offers a wide range of customizable components you can build your tailored Engineering Systems for data and then it aligns with dashboards and building in power bi I thought that was a fairly well rewarded answer as well the this is this is something that was interesting here the the learning curve and and

63:29 curve and and adoption of the new framework could present challenges for business users when it’s the point it says while the features are exciting it May challenge others and find it time consuming to learn these new technologies I thought that was very relevant as well and then lastly there could be potentially compatibility and integration challenges when adopting new services or Frameworks compatibility integration with existing systems potentially present some challenges business users maybe have concerns around how do they integrate

64:00 concerns around how do they integrate Microsoft fabric with their existing powerbab reports their existing data sources and their existing customizations already in the system yeah I thought that was a very insightful element as well because that’s what we’re struggling with like hey there’s this new world how do we integrate this new fabric Thing and what we’re already doing in power bi and what we already know so we need some guidance around how do we take what we have and get to the next level anyways really interesting answers today I thought actually all right we’ll have to score it today I’m probably going to give a I’ll probably give it around

64:30 to give a I’ll probably give it around an 800 out of a thousand for me so an 8 out of 10. sure which eight 801. I’ll get I’ll do six out of seven for something that came out two days ago great job and I actually personally am giving an extra score because it out of all the AAA stuff is like look I don’t even know Microsoft fabric don’t ask AI like I can’t exactly right what do you think Seth how was their responses today yeah it’s six out of seven it’s good six out of seven is good yeah all right

65:01 six out of seven is good yeah all right cool well with that thank you very much we appreciate your time today everyone thank you for listening and jumping in the conversation in the chat thread was amazing thank you so much for having opinions options and considerations here I’m learning so much from chat and your perspective on things so chat thank you very much for participating we really appreciate you jumping in and joining the conversation as well our only ask is if you like this episode you like what we do here please share it with somebody else we’d love to have someone else get involved with the conversation that’s what this is for tell me where else can you find the

65:31 tell me where else can you find the podcast so you can find the podcast anywhere they’re available apple and Spotify make sure to subscribe what do you want us to talk about fabric go to Power bi tips slash the podcast we have a forum so ask your questions what do you want us to talk about with fabric and all these new features make sure to watch live as well on Tuesdays and Thursdays 7 30 a. m follow all power bi tips social media channels sounds good thank you all very much and there’ll be many more months of talking about Fabric and how we work with it and it yeah

66:03 and how we work with it and it yeah we’re gonna have a lot Tommy was worried we were running out of content last week and he’s like he’s never worried about that actually he’s we always have things to talk about thank you all and have a great time we’ll see you next time foreign

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