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Azure data factory by examplepractic...

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Azure data factory by examplepractical implementation for data engineers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Azure data factory by exampleby Richard Swinbank.
其他題名:	practical implementation for data engineers /
作者:	Swinbank, Richard.
出版者:	Berkeley, CA :Apress :2024.
面頁冊數:	xxiii, 421 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Data warehousing.
電子資源:	https://doi.org/10.1007/979-8-8688-0218-8
ISBN:	9798868802188$q(electronic bk.)

Azure data factory by examplepractical implementation for data engineers /
Swinbank, Richard.

Azure data factory by examplepractical implementation for data engineers /[electronic resource] :by Richard Swinbank. - Second edition. - Berkeley, CA :Apress :2024. - xxiii, 421 p. :ill., digital ;24 cm.

1. 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.

Data 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.

ISBN: 9798868802188$q(electronic bk.)

Standard No.: 10.1007/979-8-8688-0218-8doiSubjects--Uniform Titles:

Microsoft Azure SQL Database.
Subjects--Topical Terms:

199894
Data warehousing.

LC Class. No.: QA76.9.D37 / S95 2024

Dewey Class. No.: 658.403802855745

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