{"product_id":"mapping-data-flows-in-azure-data-factory-building-scalable-etl-projects-in-the-microsoft-cloud-paperback","title":"Mapping Data Flows in Azure Data Factory: Building Scalable Etl Projects in the Microsoft Cloud - 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\u003eMark Kromer\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eBuild scalable ETL data pipelines in the cloud using Azure Data Factory's Mapping Data Flows. Each chapter of this book addresses different aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices using ADF's code-free data transformation design tools. The book shows data engineers how to take raw business data at cloud scale and turn that data into business value by organizing and transforming the data for use in data science projects and analytics systems. \u003cbr\u003eThe book begins with an introduction to Azure Data Factory followed by an introduction to its Mapping Data Flows feature set. Subsequent chapters show how to build your first pipeline and corresponding data flow, implement common design patterns, and operationalize your result. By the end of the book, you will be able to apply what you've learned to your complex data integration and ETL projects in Azure. These projects will enable cloud-scale big analytics and data loading and transformation best practices for data warehouses. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eBuild scalable ETL jobs in Azure without writing code\u003c\/li\u003e\n\u003cli\u003eTransform big data for data quality and data modeling requirements\u003c\/li\u003e\n\u003cli\u003eUnderstand the different aspects of Azure Data Factory ETL pipelines from datasets and Linked Services to Mapping Data Flows\u003c\/li\u003e\n\u003cli\u003eApply best practices for designing and managing complex ETL data pipelines in Azure Data Factory\u003c\/li\u003e\n\u003cli\u003eAdd cloud-based ETL patterns to your set of data engineering skills\u003c\/li\u003e\n\u003cli\u003eBuild repeatable code-free ETL design patterns\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eData engineers who are new to building complex data transformation pipelines in the cloud with Azure; and data engineers who need ETL solutions that scale to match swiftly growing volumes of data\u003cbr\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eBuild scalable ETL data pipelines in the cloud using Azure Data Factory's Mapping Data Flows. Each chapter of this book addresses different aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices using ADF's code-free data transformation design tools. The book shows data engineers how to take raw business data at cloud scale and turn that data into business value by organizing and transforming the data for use in data science projects and analytics systems. \u003cbr\u003eThe book begins with an introduction to Azure Data Factory followed by an introduction to its Mapping Data Flows feature set. Subsequent chapters show how to build your first pipeline and corresponding data flow, implement common design patterns, and operationalize your result. By the end of the book, you will be able to apply what you've learned to your complex data integration and ETL projects in Azure. These projects will enable cloud-scale big analytics anddata loading and transformation best practices for data warehouses.\u003cbr\u003eWhat You Will Learn\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBuild scalable ETL jobs in Azure without writing code\u003c\/li\u003e\n\u003cli\u003eTransform big data for data quality and data modeling requirements\u003c\/li\u003e\n\u003cli\u003eUnderstand the different aspects of Azure Data Factory ETL pipelines from datasets and Linked Services to Mapping Data Flows\u003c\/li\u003e\n\u003cli\u003eApply best practices for designing and managing complex ETL data pipelines in Azure Data Factory\u003c\/li\u003e\n\u003cli\u003eAdd cloud-based ETL patterns to your set of data engineering skills\u003c\/li\u003e\n\u003cli\u003eBuild repeatable code-free ETL design patterns\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003e​Mark Kromer\u003c\/b\u003e has been in the data analytics product space for over 20 years and is currently a Principal Program Manager for Microsoft's Azure data integration products. Mark often writes and speaks on big data analytics and data analytics and was an engineering architect and product manager for Oracle, Pentaho, AT\u0026amp;T, and Databricks prior to Microsoft Azure.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 194\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.45 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 August 26, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47213423689977,"sku":"9781484286111","price":64.78,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/Qm0Gcye3CT9781484286111.webp?v=1768104796","url":"https:\/\/bookscloud.io\/products\/mapping-data-flows-in-azure-data-factory-building-scalable-etl-projects-in-the-microsoft-cloud-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}