Hadoop Explained
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Recent years have brought an enormous rise in web traffic as millions of people connect to online services, and companies now hold vast amounts of messy, unstructured information they want to understand. This book explains Hadoop, the open framework that changed how such data is stored and analyzed after it appeared in 2007.
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Hadoop let smaller firms keep large volumes of data on inexpensive machines arranged in racks, and it helped make big data a practical basis for decisions. Major organizations across the technology and retail sectors now rely on it. The chapters introduce the core ideas a newcomer needs, including MapReduce, rack awareness, YARN, and HDFS federation, so that readers can become comfortable with the technology.
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