Chapter 5.  Building Distributed Systems and Working with Flexible Data

In this chapter, we will explore transferrable skills that allow us to use schemaless data and distributed technologies to solve big data problems. The system we will build in this chapter will prepare us for a future where all democratic elections happen online on Twitter, of course. Our solution will collect and count votes by querying Twitter's streaming API for mentions of specific hash tags, and each component will be capable of horizontally scaling to meet demand. Our use case is a fun and interesting one, but the core concepts we'll learn and the specific technology choices we'll make are the real focus of this chapter. The ideas discussed here are directly applicable to any system that needs true-scale capabilities.

Note

Horizontal scaling refers to adding nodes, such as physical machines, to a system in order to improve its availability, performance, and/or capacity. Big data companies...