{"product_id":"azure-data-factory-by-example-practical-implementation-for-data-engineers-paperback-1","title":"Azure Data Factory by Example: Practical Implementation for Data Engineers - Paperback","description":"\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\u003eThe hands-on introduction to ADF found in this book is equally well-suited to data engineers embracing their first ETL\/ELT toolset as it is to seasoned veterans of Microsoft's SQL Server Integration Services (SSIS). The example-driven approach leads you through ADF pipeline construction from the ground up, introducing important ideas and making learning natural and engaging. SSIS users will find concepts with familiar parallels, while ADF-first readers will quickly master those concepts through the book's steady building up of knowledge in successive chapters. Summaries of key concepts at the end of each chapter provide a ready reference that you can return to again and again. \u003c\/p\u003e\u003cp\u003e\u003c\/p\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 \u003cp\u003e\u003c\/p\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\u003eThe hands-on introduction to ADF found in this book is equally well-suited to data engineers embracing their first ETL\/ELT toolset as it is to seasoned veterans of Microsoft's SQL Server Integration Services (SSIS). The example-driven approach leads you through ADF pipeline construction from the ground up, introducing important ideas and making learning natural and engaging. SSIS users will find concepts with familiar parallels, while ADF-first readers will quickly master those concepts through the book's steady building up of knowledge in successive chapters. Summaries of key concepts at the end of each chapter provide a ready reference that you can return to again and again.\u003cbr\u003eYou will: \u003c\/p\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 \u003cp\u003e\u003c\/p\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 335\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.75 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 June 10, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":67926114926846,"sku":"9781484270288","price":70.18,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/bW5nZ09rVjUwOWE0NW5iTWQ4RlRYUT09.webp?v=1793440879","url":"https:\/\/123learningstore.com\/products\/azure-data-factory-by-example-practical-implementation-for-data-engineers-paperback-1","provider":"123 Learning Store","version":"1.0","type":"link"}