{"product_id":"9781617296444","title":"Designing Cloud Data Platforms","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=\"\"\u003eZburivsky, Danil; Partner, Lynda\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\u003e4\/20\/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\u003eIn \u003ci\u003eDesigning Cloud Data Platforms\u003c\/i\u003e, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eSummary\u003c\/b\u003e\u003cbr\u003eCentralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. \u003ci\u003eDesigning Cloud Data Platforms\u003c\/i\u003e is a hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you’ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You’ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyze it.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003eWell-designed pipelines, storage systems, and APIs eliminate the complicated scaling and maintenance required with on-prem data centers. Once you learn the patterns for \u003ci\u003edesigning cloud data platforms\u003c\/i\u003e, you’ll maximize performance no matter which cloud vendor you use.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003eIn \u003ci\u003eDesigning Cloud Data Platforms\u003c\/i\u003e, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eWhat's inside\u003c\/b\u003e\u003cbr\u003eBest practices for structured and unstructured data sets\u003cbr\u003eCloud-ready machine learning tools\u003cbr\u003eMetadata and real-time analytics\u003cbr\u003eDefensive architecture, access, and security\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003eFor data professionals familiar with the basics of cloud computing, and Hadoop or Spark.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eDanil Zburivsky\u003c\/b\u003e has over 10 years of experience designing and supporting large-scale data infrastructure for enterprises across the globe. \u003cb\u003eLynda Partner\u003c\/b\u003e is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1 Introducing the data platform\u003cbr\u003e2 Why a data platform and not just a data warehouse\u003cbr\u003e3 Getting bigger and leveraging the Big 3: Amazon, Microsoft Azure, and Google\u003cbr\u003e4 Getting data into the platform\u003cbr\u003e5 Organizing and processing data\u003cbr\u003e6 Real-time data processing and analytics\u003cbr\u003e7 Metadata layer architecture\u003cbr\u003e8 Schema management\u003cbr\u003e9 Data access and security\u003cbr\u003e10 Fueling business value with data platforms","brand":"Manning","offers":[{"title":"Default Title","offer_id":48176691577087,"sku":"9781617296444","price":59.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0452\/0886\/2873\/files\/Jacket_8964214f-1fdb-4094-9b64-2467eca20f83.jpg?v=1771351509","url":"https:\/\/massivebookshop.com\/products\/9781617296444","provider":"MASSIVE BOOKSHOP","version":"1.0","type":"link"}