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 ...
© 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_1111. Mapping Data Flows for Data Warehouse ETL
Ron C. L’Esteve1
(1)
Chicago, IL, USA
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