Real-world streaming architectures and event processing applications have been adopted by most data-driven companies around today. In order to gain some insight into low latency data, the processing of the data stream is important. This may be in the form of continuous streaming of events such as GPS signals, human heartbeats, ocean currents, weather sensor information, social media feeds, and so on. Stream-based, real-time architectures provide fundamental and powerful advantages, not just for utilizing in highly-specialized projects, but also in stream-based computing. They are becoming the norm for data-driven enterprises, and this allows them to efficiently implement new, flexible, and technical architectural designs and creates scalable, optimized models for efficient processing of complex business logic.
In this chapter, we'll be focusing on:
- Designing a solution architecture for a case study—building social media sentiment...