Time in Stream Processing
Understanding the balance between latency and completeness is crucial in stream processing. The discussion highlights how watermarks play a vital role in defining when data is considered complete, while also integrating event time and processing time for optimal results. Stephan emphasizes the importance of stable timestamps and the flexibility of programming abstractions in Apache Flink, allowing for sophisticated handling of data streams.In this clip
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SE-Radio Episode 346: Stephan Ewen on Streaming Architecture
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