{"product_id":"hadoop-for-dummies-paperback","title":"Hadoop For Dummies - Paperback","description":"\u003cp\u003eby \u003cb\u003eDirk Deroos\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLet \u003ci\u003eHadoop For Dummies\u003c\/i\u003e help harness the power of your data and rein in the information overload\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this easy-to-understand \u003ci\u003eFor Dummies\u003c\/i\u003e guide. \u003ci\u003eHadoop For Dummies\u003c\/i\u003e helps readers understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters.\u003cbr\u003e \u003cbr\u003e \u003c\/p\u003e \u003cul\u003e \u003cli\u003eExplains the origins of Hadoop, its economic benefits, and its functionality and practical applications\u003c\/li\u003e \u003cli\u003eHelps you find your way around the Hadoop ecosystem, program MapReduce, utilize design patterns, and get your Hadoop cluster up and running quickly and easily\u003c\/li\u003e \u003cli\u003eDetails how to use Hadoop applications for data mining, web analytics and personalization, large-scale text processing, data science, and problem-solving\u003c\/li\u003e \u003cli\u003eShows you how to improve the value of your Hadoop cluster, maximize your investment in Hadoop, and avoid common pitfalls when building your Hadoop cluster\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eFrom programmers challenged with building and maintaining affordable, scaleable data systems to administrators who must deal with huge volumes of information effectively and efficiently, this how-to has something to help you with Hadoop.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eLearn to: \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eUnderstand the value of big data and how Hadoop can help manage it\u003c\/li\u003e \u003cli\u003eNavigate the Hadoop 2 ecosystem and create clusters\u003c\/li\u003e \u003cli\u003eUse applications for data mining, problem-solving, analytics, and more\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cb\u003eThe easy-to-use, practical guide to using Hadoop for big data\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWith most of the world's data created in only the past two years, Hadoop has emerged as the definitive computing paradigm to handle big data. This comprehensive guide from IBM big data experts provides a hands-on resource for those who want to dig into the details of HDFS and MapReduce to take data storage and processing to the next level.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eGet started with Hadoop -- discover the origins of Hadoop, the realities of worldwide data growth, and practical use cases for this revolutionary platform\u003c\/li\u003e \u003cli\u003eUnder the Hadoop hood -- dig into Hadoop's distributed framework, including HDFS and MapReduce and the best tools for working with data in Hadoop\u003c\/li\u003e \u003cli\u003eHadoop and structured data -- modernize data warehouses with Hadoop and discover data utilities like HBase, Hive, and Sqoop\u003c\/li\u003e \u003cli\u003eHands on with Hadoop -- get your hands dirty with details on configuring Hadoop clusters and an overview of day-to-day Hadoop administration\u003c\/li\u003e \u003cli\u003eTake your Hadoop knowledge to the next level -- use additional Hadoop resources to understand the technology at a deeper level\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cb\u003eOpen the book and find: \u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eCoverage of the Hadoop 2 ecosystem and Yarn\u003c\/li\u003e \u003cli\u003eReal-world use cases to help you get started\u003c\/li\u003e \u003cli\u003eDetails on Hadoop distributions and cluster setup\u003c\/li\u003e \u003cli\u003eHow to use Oozie for scheduling workflows\u003c\/li\u003e \u003cli\u003eHow to add structure with Hive and HBase\u003c\/li\u003e \u003cli\u003eDetails on running native SQL queries on Hive\u003c\/li\u003e \u003cli\u003eOn-premise and cloud deployment options for Hadoop\u003c\/li\u003e \u003cli\u003eThe challenges faced by administrators\u003c\/li\u003e \u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDirk deRoos\u003c\/b\u003e is the technical sales lead for IBM's InfoSphere BigInsights. \u003cb\u003ePaul C. Zikopoulos\u003c\/b\u003e is the vice president of big data in the IBM Information Management division. \u003cb\u003eRoman B. Melnyk, PhD\u003c\/b\u003e is a senior member of the DB2 Information Development team. \u003cb\u003eBruce Brown\u003c\/b\u003e and \u003cb\u003eRafael Coss\u003c\/b\u003e work with big data with IBM.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 408\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.9 x 9.2 x 7.4 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 14, 2014\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51772727230752,"sku":"9781118607558","price":29.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/523ddf3e77eb038c50bc93311971a040.webp?v=1780412642","url":"https:\/\/ebocreations.com\/products\/hadoop-for-dummies-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}