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101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAzure Data Factory by Example$b[electronic resource] $ePractical Implementation for Data Engineers /$fby Richard Swinbank
205   $a2nd ed. 2024.
210  1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2024.
215   $a1 online resource (XXIII, 421 p. 206 illus.) 
311   $a979-88-6880-217-1 
327   $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.
330   $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.
606   $aMicrosoft software
606   $aMicrosoft .NET Framework
606   $aDatabase management
606   $aMicrosoft
606   $aDatabase Management
615  0$aMicrosoft software.
615  0$aMicrosoft .NET Framework.
615  0$aDatabase management.
615 14$aMicrosoft.
615 24$aDatabase Management.
676   $a005.268
700   $aSwinbank$b Richard$4aut$4http://id.loc.gov/vocabulary/relators/aut$0926160
801  0$bMiAaPQ
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906   $aBOOK
912   $a9910845485003321
996   $aAzure Data Factory by Example$92079541
997   $aUNINA