{"product_id":"hadoop-for-dummies-9781118607558","title":"Hadoop For Dummies","description":"\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\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Dirk Deroos\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e For Dummies\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 04\/14\/2014\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 408\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.20lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.20h x 7.40w x 0.90d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781118607558\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\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\u003cbr\u003e\u003cp\u003e\u003ci\u003eThis title is not returnable\u003c\/i\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"For Dummies","offers":[{"title":"Paperback","offer_id":40677949702259,"sku":"9.78112E+12","price":29.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/products\/img_50865d4e-7244-411f-bbc9-9d4b90257067.jpg?v=1674574197","url":"https:\/\/bookstorenmore.com\/en-de\/products\/hadoop-for-dummies-9781118607558","provider":"Bookstore N More","version":"1.0","type":"link"}