Learning Hadoop 2

This book introduces you to the world of building data-processing applications with the wide variety of tools supported by Hadoop 2. Starting with the core components of the framework—HDFS and YARN—this book will guide you through how to build applications using a variety of approaches.

You will learn how YARN completely changes the relationship between MapReduce and Hadoop and allows the latter to support more varied processing approaches and a broader array of applications. These include real-time processing with Apache Samza and iterative computation with Apache Spark. Next up, we discuss Apache Pig and the dataflow data model it provides. You will discover how to use Pig to analyze a Twitter dataset.

About the Author

Garry Turkington has over 15 years of industry experience, most of which has been focused on the design and implementation of large-scale distributed systems. In his current role as the CTO at Improve Digital, he is primarily responsible for the realization of systems that store, process, and extract value from the company's large data volumes. Before joining Improve Digital, he spent time at Amazon.co.uk, where he led several software development teams, building systems that process the Amazon catalog data for every item worldwide. Prior to this, he spent a decade in various government positions in both the UK and the USA.

Gabriele Modena is a data scientist at Improve Digital. In his current position, he uses Hadoop to manage, process, and analyze behavioral and machine-generated data. Gabriele enjoys using statistical and computational methods to look for patterns in large amounts of data. Prior to his current job in ad tech he held a number of positions in Academia and Industry where he did research in machine learning and artificial intelligence.