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Hands-On Data Warehousing with Azure Data Factory

You're reading from   Hands-On Data Warehousing with Azure Data Factory ETL techniques to load and transform data from various sources, both on-premises and on cloud

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781789137620
Length 284 pages
Edition 1st Edition
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Authors (3):
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Christian Cote Christian Cote
Author Profile Icon Christian Cote
Christian Cote
Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
Michelle Gutzait Michelle Gutzait
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Michelle Gutzait
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Toc

Azure Data Lake

One of the biggest problems that mid enterprise-sized organizations face is that data resides everywhere. Over the years, data has been accumulated usually by different systems, third-party, or in-house developed applications. Many vendors have set up a requirement to segregate their database servers in order to ensure performance, security, and management of their systems. Also, third-party vendors did not or do not want to take responsibility for their systems in a shared environment.

Organizations are starting to realize, or are already in the process of realizing, that consolidation is a must, both from the cost perspective as well as for easier manageability. However, in many cases, the vendors or developers are no longer to be found, which makes it very hard to make decisions to upgrade and/or migrate to the cloud. What could complicate things even further...

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