Hadoop Real-World Solutions Cookbook
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Hadoop Real-World Solutions Cookbook
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Overview of this book
<p>Helping developers become more comfortable and proficient with solving problems in the Hadoop space. People will become more familiar with a wide variety of Hadoop related tools and best practices for implementation.</p>
<p>Hadoop Real-World Solutions Cookbook will teach readers how to build solutions using tools such as Apache Hive, Pig, MapReduce, Mahout, Giraph, HDFS, Accumulo, Redis, and Ganglia.</p>
<p>Hadoop Real-World Solutions Cookbook provides in depth explanations and code examples. Each chapter contains a set of recipes that pose, then solve, technical challenges, and can be completed in any order. A recipe breaks a single problem down into discrete steps that are easy to follow. The book covers (un)loading to and from HDFS, graph analytics with Giraph, batch data analysis using Hive, Pig, and MapReduce, machine learning approaches with Mahout, debugging and troubleshooting MapReduce, and columnar storage and retrieval of structured data using Apache Accumulo.<br /><br />Hadoop Real-World Solutions Cookbook will give readers the examples they need to apply Hadoop technology to their own problems.</p>
Table of Contents (17 chapters)
Hadoop Real-World Solutions Cookbook
Credits
About the Authors
About the Reviewers
www.packtpub.com
Preface
Free Chapter
Hadoop Distributed File System – Importing and Exporting Data
HDFS
Extracting and Transforming Data
Performing Common Tasks Using Hive, Pig, and MapReduce
Advanced Joins
Big Data Analysis
Advanced Big Data Analysis
Debugging
System Administration
Persistence Using Apache Accumulo
Index
Customer Reviews