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Computer Science : Big Data

Vohra, Deepak Practical Hadoop Ecosystem A Definitive Guide to Hadoop-Related Frameworks and Tools

In-depth book covering topics that are not covered elsewhere, and how they all work together Provides practical examples Presents one of the two most popular big data frameworks, Hadoop Learn how to use the projects, including MapReduce, HDFS, , Apache HBase, , , 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 Apress data development platform. What You Will Learn: Set up the environment in Linux for Hadoop 1st ed., XX, 421 p. 311 illus., projects using Cloudera Hadoop Distribution CDH 5 Run a MapReduce job Store data with 1st 293 illus. in color. Apache Hive, and Apache HBase Index data in HDFS with Apache Solr Develop a Kafka edition messaging system Stream Logs to HDFS with Transfer data from MySQL database to Hive, HDFS, and HBase with Create a Hive table over Apache Solr Develop a Mahout User Recommender System Who This Book Is For: Apache Hadoop developers. Pre- Printed book requisite knowledge of Linux and some knowledge of Hadoop is required. Softcover

Printed book Order online at springer.com/booksellers Softcover Springer Nature Customer Service Center GmbH Customer Service ISBN 978-1-4842-2198-3 Tiergartenstrasse 15-17 £ 44,99 | CHF 59,00 | 49,99 € | 69121 Heidelberg 54,99 € (A) | 53,49 € (D) Germany Available T: +49 (0)6221 345-4301 Discount group [email protected] Standard (0) Product category Professional book Other renditions Softcover ISBN 978-1-4842-2200-3

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ISBN 978-1-4842-2198-3 / BIC: UN / SPRINGER NATURE: SCI29120 Part of