Chapter 1, Data Science Using Java, provides the overview of the existing tools available in Java as well and introduces the methodology for approaching Data Science projects, CRISP-DM. In this chapter, we also introduce our running example, building a search engine.
Chapter 2, Data Processing Toolbox, reviews the standard Java library: the Collection API for storing the data in memory, the IO API for reading and writing the data, and the Streaming API for a convenient way of organizing data processing pipelines. We will look at the extensions to the standard libraries such as Apache Commons Lang, Apache Commons IO, Google Guava, and AOL Cyclops React. Then, we will cover most common ways of storing the data--text and ...
