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020 _a9798868802188
_9979-8-8688-0218-8
024 7 _a10.1007/979-8-8688-0218-8
_2doi
050 4 _aQA76.76.M52
072 7 _aUMP
_2bicssc
072 7 _aCOM051380
_2bisacsh
072 7 _aUMP
_2thema
100 1 _aSwinbank, Richard.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_973792
245 1 0 _aAzure Data Factory by Example
_h[electronic resource] :
_bPractical Implementation for Data Engineers /
_cby Richard Swinbank.
250 _a2nd ed. 2024.
264 1 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2024.
300 _aXXIII, 421 p. 206 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1. Creating an Azure Data Factory Instance -- 2. Your First Pipeline -- 3. The Copy Data Activity -- 4. Expressions -- 5. Parameters -- 6. Controlling Flow -- 7. Data Flows -- 8. Integration Runtimes -- 9. Power Query in ADF -- 10. Publishing to ADF -- 11. Triggers -- 12. Change Monitoring -- 13. Tools and Other Services.
520 _aData engineers who need to hit the ground running will use this book to build skills in Azure Data Factory v2 (ADF). The tutorial-first approach to ADF taken in this book gets you working from the first chapter, explaining key ideas naturally as you encounter them. From creating your first data factory to building complex, metadata-driven nested pipelines, the book guides you through essential concepts in Microsoft’s cloud-based ETL/ELT platform. It introduces components indispensable for the movement and transformation of data in the cloud. Then it demonstrates the tools necessary to orchestrate, monitor, and manage those components. This edition, updated for 2024, includes the latest developments to the Azure Data Factory service: Enhancements to existing pipeline activities such as Execute Pipeline, along with the introduction of new activities such as Script, and activities designed specifically to interact with Azure Synapse Analytics. Improvements to flow control provided by activity deactivation and the Fail activity. The introduction of reusable data flow components such as user-defined functions and flowlets. Extensions to integration runtime capabilities including Managed VNet support. The ability to trigger pipelines in response to custom events. Tools for implementing boilerplate processes such as change data capture and metadata-driven data copying.
650 0 _aMicrosoft software.
650 0 _aMicrosoft .NET Framework.
650 0 _aDatabase management.
_960571
650 1 4 _aMicrosoft.
650 2 4 _aDatabase Management.
_960571
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9798868802171
776 0 8 _iPrinted edition:
_z9798868802195
776 0 8 _iPrinted edition:
_z9798868805943
856 4 0 _uhttps://doi.org/10.1007/979-8-8688-0218-8
912 _aZDB-2-CWD
912 _aZDB-2-SXPC
999 _c58590
_d58590