Part 2. Functional-style data processing with streams

The second part of this book is a deep exploration of the new Streams API, which lets you write powerful code that processes a collection of data in a declarative way. By the end of this second part, you’ll have a full understanding of what streams are and how you can use them in your codebase to process a collection of data concisely and efficiently.

Chapter 4 introduces the concept of a stream and explains how it compares with a collection.

Chapter 5 investigates in detail the stream operations available to express sophisticated data-processing queries. You’ll look at many patterns such as filtering, slicing, finding, matching, mapping, and reducing.

Chapter 6 covers collectors—a feature of the Streams API that lets you express even more complex data-processing queries.

In chapter 7, you’ll learn about how streams can automatically run in parallel and leverage your multicore architectures. In addition, you’ll learn about various pitfalls to avoid when using parallel streams correctly and effectively.