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Añadir al carritoCondición: New. Num Pages: 421 pages, 18 black & white illustrations, 293 colour illustrations, biography. BIC Classification: UN. Category: (P) Professional & Vocational. Dimension: 181 x 341 x 26. Weight in Grams: 818. . 2016. 1st ed. Paperback. . . . . Books ship from the US and Ireland.
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Publicado por Apress, Apress Okt 2016, 2016
ISBN 10: 1484221982 ISBN 13: 9781484221983
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Learn how to use the Apache Hadoop projects, including MapReduce, HDFS, Apache Hive, Apache HBase, Apache Kafka, Apache Mahout, and Apache Solr. From setting up the environment to running sample applications each chapter in this book is a practical tutorial on using an Apache Hadoop ecosystem project.While several books on Apache Hadoop are available, most are based on the main projects, MapReduce and HDFS, and none discusses the other Apache Hadoop ecosystem projects and how they all work together as a cohesive big data development platform.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 444 pp. Englisch.
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Learn how to use the Apache Hadoop projects, including MapReduce, HDFS, Apache Hive, Apache HBase, Apache Kafka, Apache Mahout, and Apache Solr. From setting up the environment to running sample applications each chapter in this book is a practical tutorial on using an Apache Hadoop ecosystem project.While several books on Apache Hadoop are available, most are based on the main projects, MapReduce and HDFS, and none discusses the other Apache Hadoop ecosystem projects and how they all work together as a cohesive big data development platform.What You Will Learn:Set up the environment in Linux for Hadoop projects using Cloudera Hadoop Distribution CDH 5Run a MapReduce jobStore data with Apache Hive, and Apache HBaseIndex data in HDFS with Apache SolrDevelop a Kafka messaging systemStream Logs to HDFS with Apache FlumeTransfer data from MySQL database to Hive, HDFS, and HBase with SqoopCreate a Hive table over Apache SolrDevelop a Mahout User Recommender SystemWho This Book Is For:Apache Hadoop developers. Pre-requisite knowledge of Linux and some knowledge of Hadoop is required. 444 pp. Englisch.
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In-depth book covering topics that are not covered elsewhere, and how they all work together Provides practical examplesPresents one of the two most popular big data frameworks, HadoopDeepak .
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Añadir al carritoTaschenbuch. Condición: Neu. Practical Hadoop Ecosystem | A Definitive Guide to Hadoop-Related Frameworks and Tools | Deepak Vohra | Taschenbuch | xx | Englisch | 2016 | APRESS | EAN 9781484221983 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn how to use the Apache Hadoop projects, including MapReduce, HDFS, Apache Hive, Apache HBase, Apache Kafka, Apache Mahout, and Apache Solr. From setting up the environment to running sample applications each chapter in this book is a practical tutorial on using an Apache Hadoop ecosystem project.While several books on Apache Hadoop are available, most are based on the main projects, MapReduce and HDFS, and none discusses the other Apache Hadoop ecosystem projects and how they all work together as a cohesive big data development platform.What You Will Learn:Set up the environment in Linux for Hadoop projects using Cloudera Hadoop Distribution CDH 5Run a MapReduce jobStore data with Apache Hive, and Apache HBaseIndex data in HDFS with Apache SolrDevelop a Kafka messaging systemStream Logs to HDFS with Apache FlumeTransfer data from MySQL database to Hive, HDFS, and HBase with SqoopCreate a Hive table over Apache SolrDevelop a Mahout User Recommender SystemWho This Book Is For:Apache Hadoop developers. Pre-requisite knowledge of Linux and some knowledge of Hadoop is required.