Streams and Tables: Two Sides of the Same Coin | Confluent

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Introduces the Dual Streaming Model, which unifies data streams and relational tables by presenting operator results as a stream of successive updates. This model addresses physical and logical order in data stream processing, decoupling out-of-order data handling from latency concerns and defining a design space between processing cost, latency, and result completeness. It also discusses implementation trade-offs and challenges.