I can EXPLAIN Microsoft Fabric with ONE WORD 

I really do love your independence @Curbal. Even though you are an MVP, you voice your opinions freely, whether they be supportive, critical or cautious. Keep up the great work!

Great video! Unlike others that are promoting Fabric, it's great to hear different opinions in terms of what fabric will do for Power BI Developers.

Best fabric video so far, it cuts through the MS marketing hype and clearly states some important risks. I work for a small charitable organisation with 150 power bi users. For the last few weeks it has felt as if we will have to move to fabric but your video puts my mind at rest . Just good old SQL and power bi for us 😅

Really appreciate the candid and transparent thinking you provide here. The So-What implications really jump out.

Ruth is throwing cold water on my dreams. She raised my hopes with her one word, "Convenient", but then she added another word, "Danger". Let's just make a new word, "Convenient-danger". A word that strikes terror in the heart of my IT manager.

Thank you for expressing an opinion about this product in an honest and unbiased way

thank you for this overview. I l ove how you always keep it real and lay it out as it is.

Very informative and honest video, which is rare these days. Thank you!

Thank you, this was the best Fabric video that answer all my questions.

Longtime viewer, first time commenting. Your content is incredible, thank you.

Thank you for the overview and insights! I was excited when fabric was announced, and started experimenting immediately. Within minutes, I realized how expensive it could be, having worked with the combined elements separately in the past. It does open up the potential role of data engineer to developers who haven't had the experience or exposure to these tools previously though. This may be part of the marketing plan ;)

The cost will be high with "pay as you go" pricing model, and it is the option for big company. But actually, I doubt that even big company will use Fabric when they already have their own data warehouse in some where else. As a BI person, I don't see the benefit that I will get from Fabric because I do not use notebook, do not take care warehouse, so why I have to pay for this, just integrate Power BI with Power Automate and Power App would be enough.

Fabric sounds promising. While I do wish Microsoft would slow down with the rebranding, I find the current data toolset so difficult to configure and administer that id rather not use them. Hopefully with one unified platform, this becomes a lot easier. Thanks for this video Ruth, always appreciate the time and effort you put in to bringing us up to speed :)

17:40 IF the company is NOT already paying for any Premium license/Capacity it won't do it for Fabric.

Great video... but now I'm intrigued to find out how horrible the data lake setup is.. just for comparison. Mind to inform which video it is ? Thanks.

Nice!

Hello Ruth, My congratulations on your video and the simple and transparent way you put your opinion. I'm glad that being MVP didn't cloud your analysis and independence. 👏👏👏👏👏 As you mention, the goal of facilitating all data integration, necessarily has other motivations, as a private company this motivations are necessarily economic and domain. The price is effectively a black box, for now, and the surprises can be very unpleasant. The adoption of Microsoft Fabric by large companies will certainly lead to a large reduction in IT in these companies, and on the other hand, provide to these giant companies an even greater competitive advantage over smaller ones.

Can a on-prem SQL server be set up as a shortcut by using a remote gateway? This would ensure that our data at rest would still be on-prem.

My understanding is that “pay as you go” here means you have option to pause the capacity any time and save cost, and the max cost is when keep capacity running 24/7, similar cost to P capacity at reserved pricing. For SMB the lower F tiers will work better. The extra cost with OneLake storage can still be an issue but generally lake storage is cheap.

what enterprise databases are the target group? Are we talking about Oracle/SAP data warehouse reporting? Should this replace Oracle Analytics Cloud (OAC) for example? Currently we use OAC extracts, upload the files to SharePoint in order to report via PBI.

So different points that touch the data (e.g. onedrive). Does this add an issue around data governance?

Thanks Ruth for the great video. Could you please put the link for the Microsoft video you reffering to, on your video?

I am very confused what pay as you go means. If I use more compute then my F sku allows. What will happen. Will I pay more? Or will it become slow. The second is accetable, the first will mean a lot of management and control is necessary.

Nice

Genuine question, not sarcasm but if you have your cloud infrastructure in multiple cloud platforms ar'nt you doubling your attack surface and adding complexity?

I like what you said in the end: "Do not put all your eggs in one basket"

For large companies adapting new tools take years time. So, no need to panic about Microsoft Fabric at the moment. But Data Analyst and Data Engineer roles may merge in couple of years I guess. Also AI becoming good at Data Analysis is a concern for core Data Analysts, becuase anyone can do Data Analysis with simple prompts. This landscape will shift by 2025 I guess.

If Microsoft executes on their SaaS vision for Fabric, I think it is certainly a step forward from PaaS solutions. Platform services require a sgnificant level of admin overhead, planning, and tracking, and the interfaces are clunky and difficult to learn (as you mentioned). The question isn't what the absolute cost of Fabric is, but what the total cost of ownership is compared to other solutions that can deliver a simlar level of performance, scalability, and end-user efficiency. According to the OneLake videos that Microsoft has produced, my sense is that OneLake will address some of the metadata, discoverability, and lineage concerns that you have.

3:30 what's the name/link to your other video?

Will you be covering fabric in more detail with use cases in future ?

As a new Data Architect who was last a Power BI Developer, I wish Fabric came out 3 years ago. The future is focused on Power BI

Great video Ruth. I thought the choice for a F SKU would mean some capping. But if not that would change it. I want to know beforehand what my cost will be. A Fabric PPU would be great :-)

Is it like an ERP?

Det var mer än ett ord men tack för en jättebra genomgång. Det är DWH som är dyr och den borde man kunna ändra till vanlig Azure SQL Server.

Hype. That's the word.

I'm still have problems with new ribbon design in PBI Service. It looks a way more complicated even for non-rookies. And that was for Fabric unification purposes...

Hi Ruth, In the video you said something about connecting PBI to AWS. Do you know a way to get/connect to data stored in AWS S3 to PBI? Thank you! P.S. - Thank you for cautioning on how someone can quickly ramp up the Fabric bill!!!

On onelake, well we don’t just want one. We want different lakes for sensitive data segregation, security and archiving. I haven’t seen how that gets accommodated in fabric, but if it means onelake for analytics plus various other external lakes, well what’s the point.

I mean the biggest for me is pricing model, which allows self service use the tools like spark notebook, Data Lake Gen 2, Synapse and Data Factory which allows to solve scenarios where Dataflows wheren't enough. Edit: Haven't watched till end of video. I didn't know it was Pay as you Go, I swear was thinking it was like Premium Capacity in PBI

me and my data engineer pal will build our own lakehouse with blackjack and hookers (read: APIs, Talend & Pentaho) 🤣🤣🤣

One word... 'Expensive'

The outcome of companies adopting fabric is that PBI dev roles will get swallowed up by the data engineers/scientists. Visualisation is by far the easiest part of the whole BI function

Very generous explanation, really. I expected to be surprised but not like this, this is really unmanaged, kinda scares me, after watching your entire summary. Tbh, this is no substitute for proper integrations, having a proper data lake, and then build data lakehouse implementation, with purpose built warehouses. I DO NOT want to intake excel sources from my boneheaded sales users, nor do I want deal with files being directly placed from the desktop to the lake (operated by the same boneheaded users) when there are perfectly functional MS solutions to build integrations such as SSIS or Azure Functions (or their counterparts in Google Functions or AWS Lambda) or external platforms such as Fivetran, Celigo or Boomi, with external, better, datalakes (Snowflake, BigQuery) This is just lazy. Convenience is how you end up with unscalable, ungoverned models which do NOT contribute to forming proper data models for.. anything, really.

Seriously, some whistleblower says the US Government is in possession of alien spacecraft. I would like to get my hands on whatever they use for data analysis. I hope all the technology is open source so we won't have to pay these Microsoft Fabric prices.

It seems like a money vacuum - that giant sucking sound is your dollars going to Redmond.

The way I see, Microsoft just combined a bunch of services into one place. It's convenient not revolutionary like some people are trying to sell. And you still gonna have to pay by the hour if you wanna use it.

13:00 agree with you.

theres a little error in the title "farbric"

Convenience? Is the word convenience?

An 18 minute video to explain it in ONE WORD 😂

Before start. In one word? But it needs a 19 minutes video to explain it

Is Microsoft fabric really bringing value to a single user.. or is this all just about making money with Enterprise subscription.. typical Microsoft behavior... they are just going too fast.. building fear about AI😢 what do you think Ruth..

You need to be extremely careful before you like people like me play around with this.

Easier?? Honestly I hate MS products. 100000000 products without any real explanation. Almost all are duplicated etc, A huge confusion. No real manuals. Absolutely every MS product is a horror experience for me. Don't even talk about DAX...nightmare without any real MS manual.