Big Data Using Hadoop and Hive, Paperback by Kumar, Nitin, Brand New, Free sh...

Big Data Using Hadoop and Hive, Paperback by Kumar, Nitin, ISBN 1683926455, ISBN-13 9781683926450, Brand New, Free shipping in the USKumar, who specializes in architecture, systems analysis, design, performance tuning, and execution on a Distributed Parallel Processing system, offers a guide to using the open-source software Hadoop 3 and Hive to build distributed, scalable, and concurrent big data applications. He explains big data and how it poses problems for organizations, the key benefits of big data and how it is used, and how Hadoop can solve its challenges; Apache Hadoop history and its key benefits, as well as its architecture and ecosystem; Hadoop Distributed Filesystem (HDFS) and its architecture and core components; basic Hadoop set-up, configuration, and optimization; the JAVA API and WebHDFS REST API to access HDFS files; MapReduce jobs and how the Hadoop Core framework executes MapReduce jobs; the challenges of Hadoop v1 and how YARN solves them; Hive and its architecture, storage types, and query language; Hive set-up; and various file formats and compression mechanisms. Distributed in North America by Stylus Publishing and Distribution. Annotation ©2021 Ringgold, Inc., Portland, OR ()