Chapter 1, Getting Ready to Use R and Hadoop, gives an introduction as well as the process of installing R and Hadoop.

Chapter 2, Writing Hadoop MapReduce Programs, covers basics of Hadoop MapReduce and ways to execute MapReduce using Hadoop.

Chapter 3, Integrating R and Hadoop, shows deployment and running of sample MapReduce programs for RHadoop and RHIPE by various data handling processes.

Chapter 4, Using Hadoop Streaming with R, shows how to use Hadoop Streaming with R.

Chapter 5, Learning Data Analytics with R and Hadoop, introduces the Data analytics project life cycle by demonstrating with real-world Data analytics problems.

Chapter 6, Understanding Big Data Analysis with Machine Learning, covers performing Big Data analytics by machine learning techniques with RHadoop.

Chapter 7, Importing and Exporting Data from Various DBs, covers how to interface with popular relational databases to import and export data operations with R.

Appendix, References, describes links to additional resources regarding the content of all the chapters being present.