Azure Data Factory

Hey #DataFactory fans! Can you spare a few minutes today to share your thoughts about migrating from ADF, Synapse, Power Query, and other Azure analytics solutions to #MicrosoftFabric? We LOVE hearing directly from our customers ... Thank you!!

🚨🚨 New #Microsoft #Fabric #DataFactory API now available as part of our public preview REST APIs! Query activity run details:

Landing this month in #Microsoft #Fabric #DataFactory pipelines ... Edit your JSON code behind the canvas designer! #MicrosoftCommunity asked and we listened! Thank you as always for the feedback.

Invoking data integration ETL pipelines when a file arrives or deletes is a common pattern when you cannot rely on a wall-clock scheduling mechanism. Watch as Mark @KromerBigData walks through how to do this in #Microsoft #Fabric #DataFactory and more!

Are you an experienced #Azure #DataFactory pipeline developer and want to hear 5 tips about transitioning from ADF to #Microsoft #Fabric #DataFactory! Mark @kromerbigdata has you covered: 5 Tips for ADF pipeline developers moving to Fabric

RT @narainabhishek: Introducing Data workflows in Microsoft Fabric: Develop, Schedule and Monitor your python-based data workflows. Powered by #ApacheAirflow #DataWorkflows #MicrosoftFabric #DataFactory #Python #DAGs via @MSFabric

RT @ErwindeKreuk: Have you seen the #MicrosoftFabric May update, it concludes 94 pages of innovations. Amazing #MicrosoftFabric #MSBuild

UPDATE for users of #MicrosoftFabric #DataFactory Semantic Model Refresh activity preview!! Starting next week, we are defaulting to "full" refresh type. We are also working on adding options to allow you to customize the refresh type & more properties.

🚨New #Microsoft #Fabric blog alert! @KromerBigData shares the new expression builder experience for #datapipelines, coming soon to the Script activity! Check it out and let us know your thoughts:

In this new #Microsoft #Fabric blog, @pennychouwork shares the new updated #DataPipelines landing page for #DataFactory! Check it out:

RT @KromerBigData: Thank you #DataFactory community for the valuable feedback that leads to these amazing enhancements in Data Factory!!

#DataFactory has raised the limit of activities per pipeline to 80 (soft limit), double the previous limit of 40 activities for all surface areas where pipelines can be found: ADF, Synapse, and Fabric!!

Dive into Data Factory at the Microsoft Fabric Community Conference | Microsoft Fabric Blog #MicrosoftFabric @MSFabricconf #DataFactory

In this new #Microsoft #Fabric blog, @KromerBigData continues his blog post series on #DataFactory data pipelines in Fabric by demonstrating several different methods and good practices to automate and execute your Fabric DW queries and commands.

RT @KromerBigData: I just posted a quick blog introduction to using #Microsoft #Fabric #DataFactory pipelines to build powerful automated worklows that execute your Fabric Spark Notebooks. @AzDataFactory

RT @mim_djo: Pro tip: if you have a notebook job that you care about in #Fabric , don't schedule directly but use Data pipeline - You can control concurrency - You can control timeout Data pipeline is virtually free and can save you a lot of Capacity Units.

In this new video, @KromerBigData shows you how to make a new Dataflow in #MicrosoftFabric #DataFactory that does exactly the same transformation job a #MappingDataFlow in #Azure #DataFactory.

Hey #DataFactory fans! Want to learn more about integrating #SAP data into #MicrosoftFabric? Check out this new blog by Ulrich:

RT @KromerBigData: Hey #Azure #DataFactory fans!! Just dropped another new #MicrosoftFabric video. Looking to learn ADF & Synapse concepts in Fabric Data Factory? Here is a video I put together to help get you started and it's less than 15 mins long, yay! @AzDataFactory

RT @KromerBigData: #MicrosoftFabric launch is behind us, time to build exciting #DataFactory patterns in Fabric! Let's start a new set of how-to videos by looking at the very popular hyper-parameterized metadata driven pipeline pattern using a database control table.