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 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/tree/master/AzureDataFactory-MappingDataFlow-Intro


In today episode I will cover

  1. What is Mapping Data Flow for Data Factory?
  2. Creating data flow pipelines
  3. Consuming data from blob storage
  4. Transformation of data
  5. Aggregations


Next steps for you after watching the video

  1. Azure Data Factory introduction video
  2. Check mapping data flow documentation
  3. Helpful tips and samples

Adam Marczak

Programmer, architect, trainer, blogger, evangelist are just a few of many titles. What I really am, is a passionate technology enthusiast. I take great pleasure in learning new technologies and finding ways in which it can aid people every day. My latest passion is running an Azure 4 Everyone YouTube channel, where I show that Azure really is for everyone!

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