{"product_id":"beginning-azure-synapse-analytics-transition-from-data-warehouse-to-data-lakehouse-paperback","title":"Beginning Azure Synapse Analytics: Transition from Data Warehouse to Data Lakehouse - 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\u003eBhadresh Shiyal\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eGet started with Azure Synapse Analytics, Microsoft's modern data analytics platform. This book covers core components such as Synapse SQL, Synapse Spark, Synapse Pipelines, and many more, along with their architecture and implementation.\u003cbr\u003eThe book begins with an introduction to core data and analytics concepts followed by an understanding of traditional\/legacy data warehouse, modern data warehouse, and the most modern data lakehouse. You will go through the introduction and background of Azure Synapse Analytics along with its main features and key service capabilities. Core architecture is discussed, along with Synapse SQL. You will learn its main features and how to create a dedicated Synapse SQL pool and analyze your big data using Serverless Synapse SQL Pool. You also will learn Synapse Spark and Synapse Pipelines, with examples. And you will learn Synapse Workspace and Synapse Studio followed by Synapse Link and its features. You will go through use cases in Azure Synapse and understand the reference architecture for Synapse Analytics. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eAfter reading this book, you will be able to work with Azure Synapse Analytics and understand its architecture, main components, features, and capabilities. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eUnderstand core data and analytics concepts and data lakehouse concepts\u003c\/li\u003e\n\u003cli\u003eBe familiar with overall Azure Synapse architecture and its main components\u003c\/li\u003e\n\u003cli\u003eBe familiar with Synapse SQL and Synapse Spark architecture components\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWork with integrated Apache Spark (aka Synapse Spark) and Synapse SQL engines\u003c\/li\u003e\n\u003cli\u003eUnderstand Synapse Workspace, Synapse Studio, and Synapse Pipeline\u003c\/li\u003e\n\u003cli\u003eStudy reference architecture and use cases\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003eAzure data analysts, data engineers, data scientists, and solutions architects\u003cbr\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003cb\u003e \u003c\/b\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eGet started with Azure Synapse Analytics, Microsoft's modern data analytics platform. This book covers core components such as Synapse SQL, Synapse Spark, Synapse Pipelines, and many more, along with their architecture and implementation.\u003cbr\u003eThe book begins with an introduction to core data and analytics concepts followed by an understanding of traditional\/legacy data warehouse, modern data warehouse, and the most modern data lakehouse. You will go through the introduction and background of Azure Synapse Analytics along with its main features and key service capabilities. Core architecture is discussed, along with Synapse SQL. You will learn its main features and how to create a dedicated Synapse SQL pool and analyze your big data using Serverless Synapse SQL Pool. You also will learn Synapse Spark and Synapse Pipelines, with examples. And you will learn Synapse Workspace and Synapse Studio followed by Synapse Link and its features. You will go through use cases in Azure Synapse and understand the reference architecture for Synapse Analytics. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eAfter reading this book, you will be able to work with Azure Synapse Analytics and understand its architecture, main components, features, and capabilities.\u003cbr\u003eYou will: \u003cul\u003e\n\u003cli\u003eUnderstand core data and analytics concepts and data lakehouse concepts\u003c\/li\u003e\n\u003cli\u003eBe familiar with overall Azure Synapse architecture and its main components\u003c\/li\u003e\n\u003cli\u003eBe familiar with Synapse SQL and Synapse Spark architecture components\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWork with integrated Apache Spark (aka Synapse Spark) and Synapse SQL engines\u003c\/li\u003e\n\u003cli\u003eUnderstand Synapse Workspace, Synapse Studio, and Synapse Pipeline\u003c\/li\u003e\n\u003cli\u003eStudy reference architecture and use cases\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eBhadresh Shiyal\u003c\/b\u003e is an Azure data architect and Azure data engineer. For the past seven years, he has been working with a large multi-national IT corporation as Solutions Architect. Prior to that, he spent almost a decade in private and public sector banks in India in various IT positions working on various Microsoft technologies. He has 18 years of IT experience, including working for two years on an international assignment from London. He has much experience in application design, development, and deployment. \u003c\/p\u003e\u003cp\u003eHe has worked on various technologies, including Visual Basic, SQL Server, SharePoint Technologies, .NET MVC, O365, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen1\/Gen2, Azure SQL Data Warehouse, Power BI, Spark SQL, Scala, Delta Lake, Azure Machine Learning, Azure Information Protection, Azure .NET SDK, Azure DevOps, and more.\u003c\/p\u003e \u003cp\u003eHe holds multiple Azure certifications that include Microsoft Certified Azure Solutions Architect Expert, Microsoft Certified Azure Data Engineer Associate, Microsoft Certified Azure Data Scientist Associate, and Microsoft Certified Azure Data Analyst Associate. \u003c\/p\u003e \u003cp\u003eBhadresh has worked as Solutions Architect on a large-scale Azure Data Lake implementation project as well as on a data transformation project and on large-scale customized content management systems. He has also worked as Technical Reviewer for the book \u003ci\u003eData Science using Azure\u003c\/i\u003e, prior to authoring this book.\u003c\/p\u003e\u003cbr\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 249\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.57 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 17, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52493669728563,"sku":"9781484270608","price":82.58,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/em1RbUdsYk1mOVIrV052V3VOanZNUT09.webp?v=1759960701","url":"https:\/\/www.vysn.com\/en-ca\/products\/beginning-azure-synapse-analytics-transition-from-data-warehouse-to-data-lakehouse-paperback","provider":"VYSN","version":"1.0","type":"link"}