Learn how to crunch big data to extract meaning from the data avalanche
by:Garry Turkington

1 Learn tools and techniques that let you approach big data with relish and not fear
2 Shows how to build a complete infrastructure to handle your needs as your data grows
3 Hands-on examples in each chapter give the big picture while also giving direct experience

This book comprises of three main parts: chapters 1 through 5, which cover the core of
Hadoop and how it works, chapters 6 and 7, which cover the more operational aspects
of Hadoop, and chapters 8 through 11, which look at the use of Hadoop alongside other
products and technologies.

Contents
Chapter 1: What It's All About
Chapter 2: Getting Hadoop Up and Running
Chapter 3: Understanding MapReduce
Chapter 4: Developing MapReduce Programs
Chapter 5: Advanced MapReduce Techniques
Chapter 6: When Things Break
Chapter 7: Keeping Things Running
Chapter 8: A Relational View on Data with Hive
Chapter 9: Working with Relational Databases
Chapter 10: Data Collection with Flume
Chapter 11: Where to Go Next
Appendix: Pop Quiz Answers

Who this book is for
We assume you are reading this book because you want to know more about Hadoop at a hands-on level; the key audience is those with software development experience but no prior exposure to Hadoop or similar big data technologies.
For developers who want to know how to write MapReduce applications.
For architects and system administrators.