{"product_id":"big-data-nandhini-abirami-r-9781119701828","title":"Big Data: Concepts, Technology, and Architecture","description":"\u003cp\u003e\u003cb\u003eLearn Big Data from the ground up with this complete and up-to-date resource from leaders in the field \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eBig Data: Concepts, Technology, and Architecture\u003c\/i\u003e delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, \"Big Data,\" the book moves on to discuss every stage of the lifecycle of Big Data. \u003c\/p\u003e \u003cp\u003eYou'll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You'll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. \u003c\/p\u003e \u003cp\u003e\u003ci\u003eBig Data\u003c\/i\u003e also covers the central topic of big data visualization with Tableau, and you'll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. \u003c\/p\u003e \u003cp\u003eAccessibly organized, \u003ci\u003eBig Data\u003c\/i\u003e includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns \u003c\/li\u003e \u003cli\u003eRelational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases \u003c\/li\u003e \u003cli\u003eVirtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization \u003c\/li\u003e \u003cli\u003eApache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive \u003c\/li\u003e \u003cli\u003eThe Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for data scientists, data engineers, and database managers, \u003ci\u003eBig Data\u003c\/i\u003e also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book. \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Balamurugan Balusamy, Nandhini Abirami R., Seifedine Kadry\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1119701821\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781119701828\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 04\/13\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 368\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.46lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.88d","brand":"Balamurugan Balusamy","offers":[{"title":"Hardcover","offer_id":44067120251135,"sku":"9781119701828","price":139.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_bdbea6bd-2dec-4151-b777-c75476fa8fba.jpg?v=1685411313","url":"https:\/\/www.whiterainbookhouse.com\/products\/big-data-nandhini-abirami-r-9781119701828","provider":"WR Book House","version":"1.0","type":"link"}