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Mapping Data Flows in Azure Data Factory: Building Scalable ETL Projects in the Microsoft Cloud
book

Mapping Data Flows in Azure Data Factory: Building Scalable ETL Projects in the Microsoft Cloud

by Mark Kromer
August 2022
Beginner to intermediate
204 pages
4h 54m
English
Apress
Content preview from Mapping Data Flows in Azure Data Factory: Building Scalable ETL Projects in the Microsoft Cloud
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
M. KromerMapping Data Flows in Azure Data Factoryhttps://doi.org/10.1007/978-1-4842-8612-8_5

5. Common ETL Pipeline Practices in ADF with Mapping Data Flows

Mark Kromer1  
(1)
SNOHOMISH, WA, USA
 

In the previous chapter, you learned about Mapping Data Flows in ADF and how to design an ETL pattern for data quality checking, cleaning, and prep. Now that we have a working data flow artifact, we need to execute it from a pipeline. Previously, we were able to peek at samples of the results while designing our logic. This was useful from the perspective of unit testing. The next step in building your ETL solution in ADF will be to test the data flow inside of a pipeline ...

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