{"product_id":"9781617298929","title":"Data Engineering on Azure","description":"\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eAuthor\/Contributor(s):\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eRiscutia, Vlad\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eManning\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eDate:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8\/17\/2021\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eBinding:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003ePaperback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eNEW\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cb\u003eBuild a data platform to the industry-leading standards set by Microsoft’s own infrastructure.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eSummary\u003c\/b\u003e\u003cbr\u003eIn \u003ci\u003eData Engineering on Azure\u003c\/i\u003e you will learn how to:\u003cbr\u003e\u003cbr\u003ePick the right Azure services for different data scenarios\u003cbr\u003eManage data inventory\u003cbr\u003eImplement production quality data modeling, analytics, and machine learning workloads\u003cbr\u003eHandle data governance\u003cbr\u003eUsing DevOps to increase reliability\u003cbr\u003eIngesting, storing, and distributing data\u003cbr\u003eApply best practices for compliance and access control\u003cbr\u003e\u003cbr\u003e\u003ci\u003eData Engineering on Azure\u003c\/i\u003e reveals the data management patterns and techniques that support Microsoft’s own massive data infrastructure. Author Vlad Riscutia, a data engineer at Microsoft, teaches you to bring an engineering rigor to your data platform and ensure that your data prototypes function just as well under the pressures of production. You'll implement common data modeling patterns, stand up cloud-native data platforms on Azure, and get to grips with DevOps for both analytics and machine learning.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003eBuild secure, stable data platforms that can scale to loads of any size. When a project moves from the lab into production, you need confidence that it can stand up to real-world challenges. This book teaches you to design and implement cloud-based data infrastructure that you can easily monitor, scale, and modify.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003eIn \u003ci\u003eData Engineering on Azure\u003c\/i\u003e you’ll learn the skills you need to build and maintain big data platforms in massive enterprises. This invaluable guide includes clear, practical guidance for setting up infrastructure, orchestration, workloads, and governance. As you go, you’ll set up efficient machine learning pipelines, and then master time-saving automation and DevOps solutions. The Azure-based examples are easy to reproduce on other cloud platforms.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eWhat's inside\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eData inventory and data governance\u003cbr\u003eAssure data quality, compliance, and distribution\u003cbr\u003eBuild automated pipelines to increase reliability\u003cbr\u003eIngest, store, and distribute data\u003cbr\u003eProduction-quality data modeling, analytics, and machine learning\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003eFor data engineers familiar with cloud computing and DevOps.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eVlad Riscutia\u003c\/b\u003e is a software architect at Microsoft.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e1 Introduction\u003cbr\u003ePART 1 INFRASTRUCTURE\u003cbr\u003e2 Storage\u003cbr\u003e3 DevOps\u003cbr\u003e4 Orchestration\u003cbr\u003ePART 2 WORKLOADS\u003cbr\u003e5 Processing\u003cbr\u003e6 Analytics\u003cbr\u003e7 Machine learning\u003cbr\u003ePART 3 GOVERNANCE\u003cbr\u003e8 Metadata\u003cbr\u003e9 Data quality\u003cbr\u003e10 Compliance\u003cbr\u003e11 Distributing data","brand":"Manning","offers":[{"title":"Default Title","offer_id":48176692723967,"sku":"9781617298929","price":49.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0452\/0886\/2873\/files\/Jacket_54736003-01e5-4d3c-9a3b-12af692503f0.jpg?v=1771351514","url":"https:\/\/massivebookshop.com\/de\/products\/9781617298929","provider":"MASSIVE BOOKSHOP","version":"1.0","type":"link"}