Overview
- 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
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Table of contents (11 chapters)
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Front Matter
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Fundamentals
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Front Matter
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Storing & Querying
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Front Matter
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Bulk Transferring & Streaming
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Front Matter
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Serializing
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Front Matter
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Messaging & Indexing
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Front Matter
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Back Matter
Keywords
About this book
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
Who This Book Is For:
Apache Hadoop developers. Pre-requisite knowledge of Linux and some knowledge of Hadoop is required.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Practical Hadoop Ecosystem
Book Subtitle: A Definitive Guide to Hadoop-Related Frameworks and Tools
Authors: Deepak Vohra
DOI: https://doi.org/10.1007/978-1-4842-2199-0
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Deepak Vohra 2016
Softcover ISBN: 978-1-4842-2198-3Published: 01 October 2016
eBook ISBN: 978-1-4842-2199-0Published: 30 September 2016
Edition Number: 1
Number of Pages: XX, 421
Number of Illustrations: 18 b/w illustrations, 293 illustrations in colour
Topics: Big Data, Database Management