Sinossi
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 5
- Run a MapReduce job
- Store data with Apache Hive, and Apache HBase
- Index data in HDFS with Apache Solr
- Develop a Kafka messaging system
- Stream Logs to HDFS with Apache Flume
- Transfer data from MySQL database to Hive, HDFS, and HBase with Sqoop
- Create a Hive table over Apache Solr
- Develop a Mahout User Recommender System
Apache Hadoop developers. Pre-requisite knowledge of Linux and some knowledge of Hadoop is required.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Deepak Vohra is a coder, developer, programmer, book author, and technical reviewer.
Dalla quarta di copertina
This book is a practical guide on using 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 is a practical tutorial on using a 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 these all work together as a cohesive big data development platform.
What you'll learn
- How to set up environment in Linux for Hadoop projects using Cloudera Hadoop Distribution CDH 5.
- How to run a MapReduce job
- How to store data with Apache Hive, Apache HBase
- How to index data in HDFS with Apache Solr
- How to develop a Kafka messaging system
- How to stream Logs to HDFS with Apache Flume
- How to transfer data from MySQL database to Hive, HDFS and HBase with Sqoop
- How create a Hive table over Apache Solr
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Practical Hadoop Ecosystem: A Definitive Guide to Hadoop-Related Frameworks and Tools
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Taschenbuch. Condizione: 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. Codice articolo 9781484221983
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