Book Image

Hadoop Beginner's Guide

Book Image

Hadoop Beginner's Guide

Overview of this book

Data is arriving faster than you can process it and the overall volumes keep growing at a rate that keeps you awake at night. Hadoop can help you tame the data beast. Effective use of Hadoop however requires a mixture of programming, design, and system administration skills."Hadoop Beginner's Guide" removes the mystery from Hadoop, presenting Hadoop and related technologies with a focus on building working systems and getting the job done, using cloud services to do so when it makes sense. From basic concepts and initial setup through developing applications and keeping the system running as the data grows, the book gives the understanding needed to effectively use Hadoop to solve real world problems.Starting with the basics of installing and configuring Hadoop, the book explains how to develop applications, maintain the system, and how to use additional products to integrate with other systems.While learning different ways to develop applications to run on Hadoop the book also covers tools such as Hive, Sqoop, and Flume that show how Hadoop can be integrated with relational databases and log collection.In addition to examples on Hadoop clusters on Ubuntu uses of cloud services such as Amazon, EC2 and Elastic MapReduce are covered.
Table of Contents (19 chapters)
Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Other Apache projects


Whether you use a bundled distribution or stick with the base Apache Hadoop download, you will encounter many references to other, related Apache projects. We have covered Hive, Sqoop, and Flume in this book; we'll now highlight some of the others.

Note that this coverage seeks to point out the highlights (from my perspective) as well as give a taste of the wide range of the types of projects available. As before, keep looking out; there will be new ones launching all the time.

HBase

Perhaps the most popular Apache Hadoop-related project that we didn't cover in this book is HBase ; its homepage is at http://hbase.apache.org. Based on the BigTable model of data storage publicized by Google in an academic paper (sound familiar?), HBase is a non-relational data store sitting atop HDFS.

Whereas both MapReduce and Hive tasks focus on batch-like data access patterns, HBase instead seeks to provide very low latency access to data. Consequently, HBase can, unlike the already mentioned...