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Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Ever felt you could use some no-nonsense, practical help when developing applications with Hadoop? Well, you've just found it. This real-world solutions cookbook is packed with handy recipes you can apply to your own everyday issues.
Overview
In Detail
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.
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.
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.
Hadoop Real World Solutions Cookbook will give readers the examples they need to apply Hadoop technology to their own problems.
What you will learn from this book
Approach
Cookbook recipes demonstrate Hadoop in action and then explain the concepts behind the code.
Who this book is written for
This book is ideal for developers who wish to have a better understanding of Hadoop application development and associated tools, and developers who understand Hadoop conceptually but want practical examples of real world applications.
Jonathan R. Owens
Jonathan R. Owens has a background in Java and C++, and has worked in both the private and public sectors as a software engineer. Most recently, he has been working with Hadoop, and related distributing processing technologies.
Currently, Jonathan R. Owens works for comScore, Inc, a widely regarded digital measurement and analytics company. At comScore, he is a member of the core-processing team, which uses Hadoop and other custom distributed systems to aggregate, analyze, and manage over 40+ billion transactions per day.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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