9
Transforming Data Using Azure Synapse Dataflows
As introduced in Chapter 8, Processing Data Using Azure Synapse Analytics, Azure Synapse Analytics comprises three key components – a Synapse integration pipeline to ingest and transform the data, a SQL pool and a Spark pool to process and serve the data, and Power BI integration to visualize the data. This chapter will focus on performing data transformations via Synapse data flows, a critical component of Synapse integration pipelines. Azure Synapse data flows allow us to perform transformations on the data such as converting data format, filtering, merging, and sorting while moving the data from the source to the destination. The best part about Synapse data flows is the user-friendly interface ...
Get Azure Data Engineering Cookbook - Second Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
