{"product_id":"hadoop-in-practice-includes-85-techniques-9781617290237","title":"Hadoop in Practice: Includes 85 Techniques","description":"\u003cp\u003e • Author(s): Alex Holmes\u003cbr\u003e • Publisher: Manning Publications\u003cbr\u003e • Publisher Imprint: Manning Publications\u003cbr\u003e • BISAC: Software Development \u0026amp; Engineering - Tools\u003c\/p\u003e\u003cp\u003e\u003cb\u003eSummary\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ci\u003eHadoop in Practice\u003c\/i\u003e collects 85 Hadoop examples and presents them in a problem\/solution format. Each technique addresses a specific task you'll face, like querying big data using Pig or writing a log file loader. You'll explore each problem step by step, learning both how to build and deploy that specific solution along with the thinking that went into its design. As you work through the tasks, you'll find yourself growing more comfortable with Hadoop and at home in the world of big data.\u003cbr\u003e\u003cb\u003eAbout the Technology\u003c\/b\u003e\u003cbr\u003eHadoop is an open source MapReduce platform designed to query and analyze data distributed across large clusters. Especially effective for big data systems, Hadoop powers mission-critical software at Apple, eBay, LinkedIn, Yahoo, and Facebook. It offers developers handy ways to store, manage, and analyze data.\u003cbr\u003e\u003cb\u003eAbout the Book\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHadoop in Practice\u003c\/i\u003e collects 85 battle-tested examples and presents them in a problem\/solution format. It balances conceptual foundations with practical recipes for key problem areas like data ingress and egress, serialization, and LZO compression. You'll explore each technique step by step, learning how to build a specific solution along with the thinking that went into it. As a bonus, the book's examples create a well-structured and understandable codebase you can tweak to meet your own needs. \u003cp\u003e\u003c\/p\u003eThis book assumes the reader knows the basics of Hadoop. \u003cp\u003e\u003c\/p\u003e Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. \u003cbr\u003e\u003cb\u003eWhat's Inside\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eConceptual overview of Hadoop and MapReduce\u003c\/li\u003e\n\u003cli\u003e85 practical, tested techniques\u003c\/li\u003e\n\u003cli\u003eReal problems, real solutions\u003c\/li\u003e\n\u003cli\u003eHow to integrate MapReduce and R\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003col\u003ePART 1 BACKGROUND AND FUNDAMENTALS\u003cli\u003eHadoop in a heartbeat\u003c\/li\u003ePART 2 DATA LOGISTICS\u003cli\u003eMoving data in and out of Hadoop\u003c\/li\u003e\n\u003cli\u003eData serialization?working with text and beyond\u003c\/li\u003ePART 3 BIG DATA PATTERNS\u003cli\u003eApplying MapReduce patterns to big data\u003c\/li\u003e\n\u003cli\u003eStreamlining HDFS for big data\u003c\/li\u003e\n\u003cli\u003eDiagnosing and tuning performance problems\u003c\/li\u003ePART 4 DATA SCIENCE\u003cli\u003eUtilizing data structures and algorithms\u003c\/li\u003e\n\u003cli\u003eIntegrating R and Hadoop for statistics and more\u003c\/li\u003e\n\u003cli\u003ePredictive analytics with Mahout\u003c\/li\u003ePART 5 TAMING THE ELEPHANT\u003cli\u003eHacking with Hive\u003c\/li\u003e\n\u003cli\u003eProgramming pipelines with Pig\u003c\/li\u003e\n\u003cli\u003eCrunch and other technologies\u003c\/li\u003e\n\u003cli\u003eTesting and debugging\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Manning Publications","offers":[{"title":"Paperback","offer_id":45356292964503,"sku":"9781617290237","price":4002.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781617290237.webp?v=1767671758","url":"https:\/\/atlanticbooks.com\/products\/hadoop-in-practice-includes-85-techniques-9781617290237","provider":"Atlantic Books","version":"1.0","type":"link"}