①【2015新书】Hadoop MapReduce Cookbook, 2nd
②【2013】Hadoop MapReduce Cookbook, 1st
③【2014新书】Hadoop Real-World Solutions Cookbook
①【2015新书】Hadoop MapReduce Cookbook, 2nd
Book 图书名称:Hadoop MapReduce Cookbook, 2nd
Author 作者:Thilina Gunarathne
Publisher 出版社:Packt Publishing
Page 页数:293
Publishing Date 出版时间:Feb, 2015
Language 语言:English
Size 大小: 4.5 MB
Format 格式:pdf 文字版
ISBN:1783285478 ,978-1783285471
Edition: 第2版 搜索过论坛,没有该文档
If you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of software development using Java and a basic working knowledge of Linux.
Starting with installing Hadoop YARN, MapReduce, HDFS, and other Hadoop ecosystem components, with this book, you will soon learn about many exciting topics such as MapReduce patterns, using Hadoop to solve analytics, classifications, online marketing, recommendations, and data indexing and searching. You will learn how to take advantage of Hadoop ecosystem projects including Hive, HBase, Pig, Mahout, Nutch, and Giraph and be introduced to deploying in cloud environments.
Finally, you will be able to apply the knowledge you have gained to your own real-world scenarios to achieve the best-possible results.
== Table of contents ==
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②【2013】Hadoop MapReduce Cookbook,1st
Book 图书名称:Hadoop MapReduce Cookbook, 1st
Author 作者:Srinath Perera, Thilina Gunarathne
Publisher 出版社:Packt Publishing
Page 页数:300
Publishing Date 出版时间:Jan, 2013
Language 语言:English
Size 大小: 4 MB
Format 格式:pdf 文字版
ISBN: 1849517282 , 978-184951728
Edition: 第1版 搜索过论坛,没有该文档
Learn how to use Hadoop MapReduce to analyze large and complex datasets with this comprehensive cookbook. Over fifty recipes with step-by-step instructions quickly take your Hadoop skills to the next level.
We are facing an avalanche of data. The unstructured data we gather can contain many insights that might hold the key to business success or failure. Harnessing the ability to analyze and process this data with Hadoop MapReduce is one of the most highly sought after skills in today's job market.
"Hadoop MapReduce Cookbook" is a one-stop guide to processing large and complex data sets using the Hadoop ecosystem. The book introduces you to simple examples and then dives deep to solve in-depth big data use cases.
"Hadoop MapReduce Cookbook" presents more than 50 ready-to-use Hadoop MapReduce recipes in a simple and straightforward manner, with step-by-step instructions and real world examples.
Start with how to install, then configure, extend, and administer Hadoop. Then write simple examples, learn MapReduce patterns, harness the Hadoop landscape, and finally jump to the cloud.
The book deals with many exciting topics such as setting up Hadoop security, using MapReduce to solve analytics, classifications, on-line marketing, recommendations, and searching use cases. You will learn how to harness components from the Hadoop ecosystem including HBase, Hadoop, Pig, and Mahout, then learn how to set up cloud environments to perform Hadoop MapReduce computations.
"Hadoop MapReduce Cookbook" teaches you how process large and complex data sets using real examples providing a comprehensive guide to get things done using Hadoop MapReduce.
== Table of contents ==
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③【2014新书】Hadoop Real World Solutions Cookbook
Book 图书名称:Hadoop Real World Solutions Cookbook
Author 作者:Jonathan R. Owens, Brian Femiano, Jon Lentz
Publisher 出版社:Packt Publishing (
Page 页数:316
Publishing Date 出版时间:Feb, 2013
Language 语言:English
Size 大小:2 MB
Format 格式:pdf 文字版
ISBN:1849519129, 978-1849519120
Edition: 第1版 搜索过论坛,没有该文档
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
- Solutions to common problems when working in the Hadoop environment.
- Recipes for (un)loading data, analytics, and troubleshooting.
- In depth code examples demonstrating various analytic models, analytic solutions, and common best practices.
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.
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