Name: Azure Data Factory by Example: Practical Implementation for Data Engineers
Brand: Springer Verlag
SKU: 9798868802171
Price: 3559.0 INR
Availability: InStock

Azure Data Factory by Example: Practical Implementation for Data Engineers

by Richard Swinbank

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ISBN13: 9798868802171
Binding: Paperback
Subject: Computer Science and Information Technology
Publisher: Springer Verlag
Publisher Imprint: Apress
Publication Date: January 1, 2024
Pages: 421
Original Price: USD 59.99
Language: English
Edition: N/A
Item Weight: 772 grams
BISAC Subject(s): Programming / Microsoft and Database Administration & Management

About The Book

From the Back Cover
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.

About The Author

Richard Swinbank is a data engineer and Microsoft Data Platform MVP. He specializes in building and automating analytics platforms using Microsoft technologies from the SQL Server stack to the Azure cloud. He is a fervent advocate of DataOps, with a technical focus on bringing automation to both analytics development and operations. An active member of the data community and keen knowledge-sharer, Richard is a volunteer, organizer, speaker, blogger, open source contributor, and author. He holds a PhD in computer science from the University of Birmingham (UK).

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