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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_3

3. Introduction to Mapping Data Flows

Mark Kromer1  
(1)
SNOHOMISH, WA, USA
 

Mapping Data Flows is the code-free data transformation feature in Azure Data Factory that allows data engineers to build powerful ETL jobs at scale. You can interactively design and test your data flow logic against live data and data samples while constructing a data transformation graph using the Mapping Data Flows designer UI. Then, you can operationalize your work as a Data Flow activity inside of an ADF pipeline. The Azure Integration Runtime is utilized for both debugging and pipeline ...

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Publisher Resources

ISBN: 9781484286128Purchase LinkPublisher Website