Data Engineering · 9 min read
Metadata Driven Ingestion into Fabric with Pipelines
Today I’m going into how you can set up the start of a metadata-driven processing framework for Microsoft Fabric. Let’s dive in.
Articles on Microsoft Fabric, Power BI and data engineering, newest first. Talks have their own page.
Data Engineering · 9 min read
Today I’m going into how you can set up the start of a metadata-driven processing framework for Microsoft Fabric. Let’s dive in.
Data Engineering · 7 min read
Can ChatGPT actually help you build a complete data platform in Microsoft Fabric if you pretend to know absolutely nothing? That’s exactly what I set out to test.
Data Engineering · 5 min read
You can now write data to delta tables using Python notebooks, without using expensive Spark compute in Microsoft Fabric!
Data Engineering · 5 min read
Microsoft recently made a change that caught a lot of people off guard: they disabled V-Ordering by default for new Fabric lakehouses. If you’re using Power BI Direct Lake mode, this matters—a lot.
Power BI · 7 min read
Did you know you can create Power BI semantic models directly from the Fabric web portal? No Power BI Desktop required. This is a game-changer if you’re working on a MacBook, dealing with a…
Data Engineering · 9 min read
Lakehouses are the foundation of data engineering in Microsoft Fabric. They’re where you store your raw data, your transformed tables, and everything in between.
Data Engineering · 7 min read
There’s a common debate in the Fabric community: should you use low-code tools like Dataflows Gen2, or should you write pro-code solutions with PySpark notebooks? Today I’m going to settle this…
Data Engineering · 7 min read
Microsoft Fabric Data Agents are the ChatGPT for your data. Now you don't need dashboards anymore, you can talk to your data!
Data Engineering · 5 min read
I recently ran into a sneaky issue while migrating a customer from SQL Server to Microsoft Fabric. We were doing what every lazy developer does—copy-pasting code—and suddenly our joins stopped…