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Instant MapReduce Patterns – Hadoop Essentials How-to

数据处理 iteblog 145℃ 0评论

关注 过往记忆大数据 微信公众号,回复 8104 获取本书下载地址。

子标题:Practical recipes to write your own MapReduce solution patterns for Hadoop programs with this book and ebook

Instant MapReduce Patterns – Hadoop Essentials How-to
作者:
Srinath Perera
ISBN-10:
1782167706
出版年份:
2013
页数:
60
语言:
English
文件大小:
0.7 MB
文件格式:
PDF

图书描述

MapReduce is a technology that enables users to process large datasets and Hadoop is an implementation of MapReduce. We are beginning to see more and more data becoming available, and this hides many insights that might hold key to success or failure. However, MapReduce has the ability to analyze this data and write code to process it.

Instant MapReduce Patterns: Hadoop Essentials How-to is a concise introduction to Hadoop and programming with MapReduce. It is aimed to get you started and give you an overall feel for programming with Hadoop so that you will have a well-grounded foundation to understand and solve all of your MapReduce problems as needed.

Instant MapReduce Patterns: Hadoop Essentials How-to will start with the configuration of Hadoop before moving on to writing simple examples and discussing MapReduce programming patterns.

We will start simply by installing Hadoop and writing a word count program. After which, we will deal with the seven styles of MapReduce programs: analytics, set operations, cross correlation, search, graph, Joins, and clustering. For each case, you will learn the pattern and create a representative example program. The book also provides you with additional pointers to further enhance your Hadoop skills.

What you will learn from this book

  • Write and run a simple MapReduce program
  • Understand the workings of Hadoop and how to write a custom formatter
  • Calculate analytics, cross-correlation, and set operations using Hadoop
  • Write simple Hadoop programs to perform searches
  • Join data by writing Hadoop programs
  • Perform graph operations and clustering

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