In this chapter, we will cover:
Learning to apply Apache Hive, Pig, and MapReduce to solve the specific problems you are faced with can be difficult. The recipes in this chapter present a few big data problems and provide solutions that show how to tackle them. You will notice that the questions we ask of the data are not incredibly complicated, but you will require a different approach when dealing with a large volume of data. Even though the sample datasets in the recipes are small, you will find that the code is still very applicable to bigger problem spaces distributed over large Hadoop clusters.
The analytic questions in this chapter are designed to highlight many of the more powerful features of the various tools. You will find many of these features and operators useful as you begin solving your own problems.