9781484221983 - Practical Hadoop Ecosystem: A Definitive Guide to Hadoop-Related Frameworks and Tools de Vohra, Deepak (18 resultados)

Condición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

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Condición: 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. . . . .

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: 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.

Paperback. Condición: Brand New. 441 pages. 10.00x7.01x0.87 inches. In Stock.

Taschenbuch. 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.

Paperback. Condición: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condición: new. Questo è un articolo print on demand.

Taschenbuch. 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.

Kartoniert / 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&nbspProvides practical examplesPresents one of the two most popular big data frameworks, HadoopDeepak .

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A unique more in-depth practical book on Hadoop's ecosystem to marketSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 444 pp. Englisch.

Taschenbuch. 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.