Azure Data Factory Mapping Data Flows Tutorial | Build ETL visual way!

With Azure Data Factory Mapping Data Flow, you can create fast and scalable on-demand transformations by using visual user interface. In just minutes you can leverage power of Spark with not a single line of code written. In this episode I give you introduction to what Mapping Data Flow for Data Factory is and how can it solve your day to day ETL challenges. In a short demo I will consume data from blob storage, transform movie data, aggregate it and save multiple outputs back to blob storage. Sample code and data: https://github.com/MarczakIO/azure4everyone-samples/tree/master/azure-data-factory-mapping-data-flows Next steps for you after watching the video 1. Azure Data Factory introduction video - https://youtu.be/EpDkxTHAhOs 2. Check mapping data flow documentation - https://docs.microsoft.com/en-us/azure/data-factory/concepts-data-flow-overview?WT.mc_id=AZ-MVP-5003556 3. Helpful tips and samples - https://github.com/kromerm/adfdataflowdocs/blob/master/data-flow-expression-samples.md ### Want to connect? - Blog https://marczak.io/ - Twitter https://twitter.com/MarczakIO - Facebook https://www.facebook.com/MarczakIO - LinkedIn https://www.linkedin.com/in/adam-marczak/ - Site https://azure4everyone.com