I can EXPLAIN Microsoft Fabric with ONE WORD

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I can explain MS Fabric with one word.

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[boyinlovek]

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!

[michaelwu]

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.

[dicky]

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 😅

[andreadelpilarhuertas]

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

[vijayk]

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

[pedja]

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

[Phoenixspin]

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.

[stephaniecoffey]

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 ;)

[benhalicki]

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 :)

[mcnater]

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

[tyberiksen]

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

[tiagolopes]

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

[antonzhong]

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.

[chazjerry]

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.

[hahuyhung]

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.

[joaorataoo]

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.

[BrianHurn]

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.

[brianferris]

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

[ivanmezev]

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

[AnilAnvesh]

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.