E-book details

Instant MapReduce Patterns - Hadoop Essentials How-to. Practical recipes to write your own MapReduce solution patterns for Hadoop programs

Instant MapReduce Patterns - Hadoop Essentials How-to. Practical recipes to write your own MapReduce solution patterns for Hadoop programs

Liyanapathirannahelage H Perera

Ebook
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.
  • Instant MapReduce Patterns Hadoop Essentials How-to
    • Instant MapReduce Patterns Hadoop Essentials How-to
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    • Preface
      • What this book covers
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    • 1. Instant MapReduce Patterns Hadoop Essentials How-to
      • Writing a word count application using Java (Simple)
        • Getting ready
        • How to do it...
        • How it works...
      • Writing a word count application with MapReduce and running it (Simple)
        • Getting ready
        • How to do it...
        • How it works...
        • Theres more...
      • Installing Hadoop in a distributed setup and running a word count application (Simple)
        • Getting ready
        • How to do it...
        • How it works...
      • Writing a formatter (Intermediate)
        • Getting ready
        • How to do it...
        • How it works...
        • There's more...
      • Analytics drawing a frequency distribution with MapReduce (Intermediate)
        • Getting ready
        • How to do it...
        • How it works...
        • There's more...
      • Relational operations join two datasets with MapReduce (Advanced)
        • Getting ready
        • How to do it...
        • How it works...
        • There's more...
      • Set operations with MapReduce (Intermediate)
        • Getting ready
        • How to do it...
        • How it works...
        • There's more...
      • Cross correlation with MapReduce (Intermediate)
        • Getting ready
        • How to do it...
        • How it works...
        • There's more...
      • Simple search with MapReduce (Intermediate)
        • Getting ready
        • How to do it...
        • How it works...
        • There's more...
      • Simple graph operations with MapReduce (Advanced)
        • Getting ready
        • How to do it...
        • How it works...
        • There's more...
      • Kmeans with MapReduce (Advanced)
        • Getting ready
        • How to do it...
        • How it works...
        • There's more...
  • Title: Instant MapReduce Patterns - Hadoop Essentials How-to. Practical recipes to write your own MapReduce solution patterns for Hadoop programs
  • Author: Liyanapathirannahelage H Perera
  • Original title: Instant MapReduce Patterns - Hadoop Essentials How-to. Practical recipes to write your own MapReduce solution patterns for Hadoop programs
  • ISBN: 9781782167716, 9781782167716
  • Date of issue: 2013-05-22
  • Format: Ebook
  • Item ID: e_2wtq
  • Publisher: Packt Publishing