{"product_id":"azure-data-factory-by-example-practical-implementation-for-data-engineers-paperback","title":"Azure Data Factory by Example: Practical Implementation for Data Engineers - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eRichard Swinbank\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eData 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.\u003cbr\u003eThis edition, updated for 2024, includes the latest developments to the Azure Data Factory service: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eEnhancements 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.\u003c\/li\u003e\n\u003cli\u003eImprovements to flow control provided by activity deactivation and the Fail activity.\u003c\/li\u003e\n\u003cli\u003eThe introduction of reusable data flow components such as user-defined functions and flowlets.\u003c\/li\u003e\n\u003cli\u003eExtensions to integration runtime capabilities including Managed VNet support.\u003c\/li\u003e\n\u003cli\u003eThe ability to trigger pipelines in response to custom events.\u003c\/li\u003e\n\u003cli\u003eTools for implementing boilerplate processes such as change data capture and metadata-driven data copying.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eCreate pipelines, activities, datasets, and linked services\u003c\/li\u003e\n\u003cli\u003eBuild reusable components using variables, parameters, and expressions\u003c\/li\u003e\n\u003cli\u003eMove data into and around Azure services automatically\u003c\/li\u003e\n\u003cli\u003eTransform data natively using ADF data flows and Power Query data wrangling\u003c\/li\u003e\n\u003cli\u003eMaster flow-of-control and triggers for tightly orchestrated pipeline execution\u003c\/li\u003e\n\u003cli\u003ePublish and monitor pipelines easily and with confidence\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eData engineers and ETL developers taking their first steps in Azure Data Factory, SQL Server Integration Services users making the transition toward doing ETL in Microsoft's Azure cloud, and SQL Server database administrators involved in data warehousing and ETL operations \u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eData 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.\u003cbr\u003eThis edition, updated for 2024, includes the latest developments to the Azure Data Factory service: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eEnhancements 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.\u003c\/li\u003e\n\u003cli\u003eImprovements to flow control provided by activity deactivation and the Fail activity.\u003c\/li\u003e\n\u003cli\u003eThe introduction of reusable data flow components such as user-defined functions and flowlets.\u003c\/li\u003e\n\u003cli\u003eExtensions to integration runtime capabilities including Managed VNet support.\u003c\/li\u003e\n\u003cli\u003eThe ability to trigger pipelines in response to custom events.\u003c\/li\u003e\n\u003cli\u003eTools for implementing boilerplate processes such as change data capture and metadata-driven data copying.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003e​Richard Swinbank \u003c\/b\u003eis 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).\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 421\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.91 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 23, 2024\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43152469327935,"sku":"9798868802171","price":77.74,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/LAdAQ-usCN9798868802171_9179c598-01af-4505-9a24-d3d7cc13659d.webp?v=1776937637","url":"https:\/\/dhlswag.com\/products\/azure-data-factory-by-example-practical-implementation-for-data-engineers-paperback","provider":"BBB","version":"1.0","type":"link"}