© 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_11

11. Mapping Data Flows for Data Warehouse ETL

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

The advent of Azure’s numerous data services has triggered both excitement and confusion in the data warehousing space for several reasons. Customers are interested in the concept of a modern cloud-based data warehouse but may be overwhelmed by the overabundance of cloud-based services available on the market. They are interested to know how they could get started with implementing traditional data warehousing concepts such as dimensional modeling, Slowly Changing Dimensions ...

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