{"product_id":"data-engineering-on-azure","title":"Data Engineering on Azure","description":"Build a data platform to the industry-leading standards set by Microsoft’s own infrastructure.\n\nSummary\nIn Data Engineering on Azure you will learn how to:\n\nPick the right Azure services for different data scenarios\nManage data inventory\nImplement production quality data modeling, analytics, and machine learning workloads\nHandle data governance\nUsing DevOps to increase reliability\nIngesting, storing, and distributing data\nApply best practices for compliance and access control\n\nData Engineering on Azure 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.\n\nPurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\n\nAbout the technology\nBuild 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.\n\nAbout the book\nIn Data Engineering on Azure 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.\n\nWhat's inside\n\nData inventory and data governance\nAssure data quality, compliance, and distribution\nBuild automated pipelines to increase reliability\nIngest, store, and distribute data\nProduction-quality data modeling, analytics, and machine learning\n\nAbout the reader\nFor data engineers familiar with cloud computing and DevOps.\n\nAbout the author\nVlad Riscutia is a software architect at Microsoft.\n\nTable of Contents\n\n1 Introduction\nPART 1 INFRASTRUCTURE\n2 Storage\n3 DevOps\n4 Orchestration\nPART 2 WORKLOADS\n5 Processing\n6 Analytics\n7 Machine learning\nPART 3 GOVERNANCE\n8 Metadata\n9 Data quality\n10 Compliance\n11 Distributing data\u003cbr\u003eASIN: 1617298921\u003cbr\u003eVSKU: GBV.1617298921.A\u003cbr\u003eCondition: Acceptable\u003cbr\u003eAuthor\/Artist:Riscutia, Vlad\u003cbr\u003eBinding: Paperback\u003cbr\u003e\u003cb\u003eNote:\u003c\/b\u003e Any images shown are stock photographs and product may differ from what is shown.  \u003cbr\u003e\u003cb\u003eCondition Notes\u003c\/b\u003e: This book is in acceptable condition and may have highlighting and or writing throughout. The actual cover image may not match the stock photo, dust jacket may be damaged or missing. Book may show internal and or external wear on spine or cover and may be slightly skewed or have creased pages. This is a used book so codes may be invalid or accompanying media may be missing. May be an Ex library book with stickers and stamps.  \u003cbr\u003e","brand":"Good Books Company","offers":[{"title":"Default Title","offer_id":51928446599473,"sku":"GBV.1617298921.A","price":23.53,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0914\/3730\/2065\/files\/1617298921-0.jpg?v=1760294780","url":"https:\/\/goodbookscompany.org\/products\/data-engineering-on-azure","provider":"Good Books Company","version":"1.0","type":"link"}