Introducing Microsoft Fabric

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Microsoft Fabric is here, and it fundamentally changes our data landscape. It introduces a Power BI like SaaS model for the data platform. You can now with a few clicks ingest data into the cloud by running pipelines, create a Lakehouse or warehouse to make that data accessible and run Python, Spark, SQL and DAX on top of it. In this episode of Kasper On BI we will try to unpack what this means and how it works.

Your host today is Kasper de Jonge, Principal Program manager on the Fabric team at Microsoft.

This episode is also available as podcast on your favorite podcast provider like iTunes or Spotify.

Links from the episode:
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What in Fabric are you most excited about?

KasperOnBI
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Exciting! The journey for those of us starting with Excel leading to Power BI and now Fabric has been breathtaking!

Looking forward to your rip with Josh! Sounds like PBI skills built are still relevant in a Fabric world!

GregKramerTenaciousData
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Great introduction and summary of today's exciting news regarding Microsoft Fabric - well done!

MSFT_ScottSewell
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What is the DevOps story in Fabric? Is it all seamlessly integrated or not yet?

ihafidh
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Very Exciting! I was wondering what the big secret was. Looking forward to diving in!

SQLMonger
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Thanks Kasper, for this good overview!

stevedepeijper
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Exciting! Bundling of services is the way moving forward! What's the pricing of SaaS?

georgiosgrigoriou
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my question is this, do we still have to learn DAX and Excel FUNCTIONS ? I just purchase a Power BI course of $349, now I have fear that it might not be useful as reckoned. What is my faith as a data analyst?

datalab
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Wonder what your take is on if Databricks still has a place in all this? Is it worth investing in setting up a new dataplatform with Databricks involved?

JeroenenNina
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Just a question, did the powerbi ms development os now the same team That is developing fabric?, I ask because I saw very familiar faces on ms build...

oscarzapatajr
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Hi Kasper, it was a nice video, thanks!
If I understood well, you said that "for data scientists is better to connect to data lake directly compared to connect to a data warehouse". Why 😮?

victorarayal
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Waanzinnig. De techniek staat voor niks...

arthurvanrijn