July 2021
Beginner to intermediate
428 pages
10h 23m
English
Content preview from Data Modeling for Azure Data Services
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Section 3 – ETL with Azure Data Factory
Data lakes, data warehouses, data marts, and potentially semantic models need to be loaded with new data regularly. This process is called the Extract, Transform, Load (ETL) process. This section is about getting data out of the source systems you designed in Section 1 into the analytics systems you designed in Section 2.
This section comprises the following chapter:
- Chapter 11, Implementing ETL Using Azure Data Factory
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