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Azure Data Factory by Example: Practical Implementation for Data Engineers
book

Azure Data Factory by Example: Practical Implementation for Data Engineers

by Richard Swinbank
March 2024
Intermediate to advanced content levelIntermediate to advanced
433 pages
9h 6m
English
Apress
Content preview from Azure Data Factory by Example: Practical Implementation for Data Engineers
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024
R. SwinbankAzure Data Factory by Examplehttps://doi.org/10.1007/979-8-8688-0218-8_1

1. Creating an Azure Data Factory Instance

Richard Swinbank1  
(1)
Tewkesbury, UK
 

A major responsibility of the data engineer is the development and management of extract, transform, and load (ETL) and other data integration workloads. Real-time integration workloads process data as it is generated – for example, a transaction being recorded at a point-of-sale terminal or a sensor measuring the temperature in a data center. In contrast, batch integration workloads run at intervals, usually processing data produced since the previous batch run.

Azure Data Factory (ADF) is Microsoft’s ...

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Publisher Resources

ISBN: 9798868802188Purchase LinkPublisher Website