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.
In today episode I will cover
- What is Mapping Data Flow for Data Factory?
- Creating data flow pipelines
- Consuming data from blob storage
- Transformation of data
Next steps for you after watching the video
- Azure Data Factory introduction video
- Check mapping data flow documentation
- Helpful tips and samples