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The Definitive Guide to Azure Data Engineering: Modern ELT, DevOps, and Analytics on the Azure Cloud Platform
book

The Definitive Guide to Azure Data Engineering: Modern ELT, DevOps, and Analytics on the Azure Cloud Platform

by Ron C. L'Esteve
August 2021
Beginner to intermediate
611 pages
11h 10m
English
Apress
Content preview from The Definitive Guide to Azure Data Engineering: Modern ELT, DevOps, and Analytics on the Azure Cloud Platform
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021
R. C. L'EsteveThe Definitive Guide to Azure Data Engineeringhttps://doi.org/10.1007/978-1-4842-7182-7_12

12. Aggregate and Transform Big Data Using Mapping Data Flows

Ron C. L’Esteve1  
(1)
Chicago, IL, USA
 

The process of cleansing and transforming big datasets in the data lake has become an increasingly popular and critical step in a modern enterprise’s data architecture. Microsoft has introduced several big data analytics and orchestration tools to serve the need for big data lake Extract-Load-Transform (ELT). Customers are seeking cloud-based services that can cleanse, transform, and aggregate extremely big datasets with ease, coupled with a low learning ...

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Publisher Resources

ISBN: 9781484271827Purchase LinkPublisher Website