Before we go into depth about what is required to achieve streaming integration, it’s important to understand each of the concepts emphasized (in italics) in this definition. In this chapter, you learn why each of these ideas is important and how streaming integration is not complete without all of them present.
Figure 1-1. Concepts behind streaming integration
Real Time
The overarching principle of streaming integration is that everything happens in real time. There is no delay between data being created, collected, processed, delivered, or viewed such as might be present in traditional Extract, Transform, and Load (ETL) systems or any architecture that uses storage as an intermediary.
This notion means that data must be collected within micro- or milliseconds of being generated. If an organization wants instant insight into its business, any lag will prevent it from understanding what is happening right now.
Continuous Collection
Streaming integration begins with a streaming-first approach to data. Unlike ETL, which ...
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