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Category: Microsoft Fabric

Microsoft Fabric vs Synapse

Nikola Ilic shares some thoughts:

I’ve already introduced Microsoft Fabric in the previous article, so if you’re still not sure what is it all about and why you can think of Fabric as your “data football team”, I strongly encourage you to check that article. Additionally, there are many great articles and videos, both from Microsoft and the community, where you can find out more about Fabric and its various scenarios and components.

In the above-mentioned article, I scratched the surface of the inevitable topic that now comes into focus: “What now for Azure Synapse Analytics?” Since I’ve been asked this exact question multiple times in the previous days, I’ve decided to put down my thoughts and share them in this article.

Read the whole thing. My thoughts, which are generally similar to Nikola’s:

  • There are no plans (at this time) to remove Synapse, and even if there were, prior history—like with Azure SQL DW—says that the deprecation timeframe is something we can measure in years rather than months
  • Fabric is intended to replace Synapse one of these days, and new customers should start with Fabric
  • Current Synapse customers should stay on Synapse for now, especially given that there is currently no easy migration plan. Give partners and Microsoft some time to sort that out, though, and I expect you’ll see tools and products for this by the time Fabric goes GA
  • PaaS and SaaS are quite different and that can be an influential factor. My personal preference is for SaaS, especially knowing how difficult it can be to secure Synapse while still enabling developer functionality
  • We’re on day 4 of Fabric being a thing (at least in public), and it’ll probably be in a public preview for a while, so there’s still plenty of baking left to do
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Microsoft Fabric for the Power BI Practitioner

Kurt Buhler provides a nice graphic:

I’m just writing this quick article to share a visual overview I made of the newly announced Power BI-related features. I hope it helps you get an at-a-glance overview of some of the big changes relevant to Power BI. More importantly, I hope it doesn’t make you feel overwhelmed! For more information, check out the documentation and learning paths.

There is a lot in store for the platform, but you can already see a slew of new changes and opportunities for Power BI developers.

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Building a Lakehouse in Microsoft Fabric

Reza Rad builds a warehouse down by the river:

The term Lakehouse is derived from two other words; Data Lake and Data Warehouse. A Lakehouse is a place to store structured data (such as Data Warehouse) and unstructured data (such as a Data lake) in a single location. Lakehouse is capable of scaling up to handle large amounts of data. Other tools and services can be used to interact with the lakehouse, for example, to load or read data into it.

Click through for instructions on how to build one and how to access it from SSMS and Power BI.

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Microsoft Fabric Compendium

This one’s going to be a little different from your average Curated SQL post, because there are a whole bunch of Microsoft Fabric-related blog posts. Consider this more a round-up than highlighting any single post.

Overviews

Trying It Out

Size and Scope

Direct Lake

The Name

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