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.
Table of Contents
- 1. Fundamentals
- 2. Storing & Querying
- 3. Bulk Transferring & Streaming
- 4. Serializing
- 5. Messaging & Indexing
- Title: Practical Hadoop Ecosystem: A Definitive Guide to Hadoop-Related Frameworks and Tools
- Release date: October 2016
- Publisher(s): Apress
- ISBN: 9781484221990