The popularity of stream data platforms is increasing significantly in recent times. Due to the requirement of real-time access to information. Enterprises are transitioning parts of their data infrastructure to a streaming paradigm due to changing business needs.
The streaming model presents a significant shift by moving from point queries against stationary data to a standing temporal query that consumes moving data. Fundamentally, we enable insight on the data before it is stored in the analytics repository. This introduces a new paradigm in thinking. Before going deep into stream processing, we have to cover a couple of key basic concepts related to events and stream. In this chapter, we'll explore the basics of the following points:
- Publish/Subscribe (Pub/Sub)
- Stream processing
- Real-Time Insights
The core theme of this book is the Azure Streaming Service. Before diving deeper into Azure Streaming Service, we should take a moment to consider why we need stream processing, or Real-Time Insights, and why it is a tool worth adding to your repertoire.
