Dataflows
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Introduction Dataflows Gen2 are frequently (and often rightfully so) bashed for their performance inefficiencies. Especially in comparison with other ingestion and transformation tools in Fabric (Notebooks, Pipelines, Copy Jobs, SPROCs). The fact remains however, that in the hands of a self-service developer, they are an incredibly powerful tool – if you can spare the compute…
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Default Data Destinations for Dataflows Ever had a Dataflow Gen2 in which you needed to map the output of several queries to the same Warehouse or Lakehouse? Takes a while to setup, right? If you wish to add a Default Destination to your Dataflow, all you need to do is to create the Dataflow from…
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Introduction Working with API data is often a task reserved for pro-coders. But in Microsoft Fabric, we can leverage the low-code Dataflows Gen2 to connect to any API and output the data to our Fabric Data Lakehouse or Data Warehouse. The article below takes you through the entire process, step by step, of connecting to…