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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_8

8. Mapping Data Flow Advanced Topics

Mark Kromer1  
(1)
SNOHOMISH, WA, USA
 

This is the final chapter in Part II of this book where we are focusing on scalable ETL jobs with Mapping Data Flows. As opposed to the previous chapters in this section, where we used sample scenarios to describe data flow functionality, in this chapter, we’re going to dive deep into three advanced topics on their own with new examples. These are all important topics that you will likely come across when processing massive amounts of data contained in data lakes in the cloud.

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Publisher Resources

ISBN: 9781484286128Purchase LinkPublisher Website