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Azure Data Factory by Example: Practical Implementation for Data Engineers by Ri

Description: Azure Data Factory by Example by Richard Swinbank Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Beginning-Intermediate user level Publisher Description 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 Microsofts 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.What You Will LearnCreate pipelines, activities, datasets, and linked servicesBuild reusable components using variables, parameters, and expressionsMove data into and around Azure services automaticallyTransform data natively using ADF data flows and Power Query data wranglingMaster flow-of-control and triggers for tightly orchestrated pipeline executionPublish and monitor pipelines easily and with confidenceWho This Book Is ForData engineers and ETL developers taking their first steps in Azure Data Factory, SQL Server Integration Services users making the transition toward doing ETL in Microsofts Azure cloud, and SQL Server database administrators involved in data warehousing and ETL operations Author Biography 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). Details ISBN-13 9798868802171 Title Azure Data Factory by Example Author Richard Swinbank Format Paperback Year 2024 Pages 421 Edition 2nd Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:159151385; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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Azure Data Factory by Example: Practical Implementation for Data Engineers by Ri

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