In this chapter, we started by understanding the types of data in the enterprise setting and explored the relevance of each of these data types, how they are used once they were inside the enterprise, and how Hadoop comes into the picture to process it.

In the subsequent sections, we began by looking at specific types of data more closely and applied the ingress and egress design patterns on it. We covered the most relevant data types from unstructured, structured, and semi-structured categories. We have also attempted to highlight design patterns for advanced data types such as images and mainframes to deliberate on the power of the Pig's adaptability and extensibility. In each of the design pattern showcased in this book, we began to understand the contextual relevance of the pattern from the background details, followed by the motivation and applicability of the pattern to a particular data type. The code and pattern implementation is discussed threadbare to ease the implementation...