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The Engineer's Guide to Streaming

Talkat Data By the Bay 2016 · 2016-05-16..05-20· [data-engineering]
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Compares Apache Storm, Flink and Apex by scalability, performance, durability and availability and claims those, not throughput numbers, decide platform fit. Notes Storm achieves single‑millisecond latency but recovers by resetting the entire topology so failures cascade. Describes Flink’s barrier checkpoints that enable fast recovery and configurable exactly‑once semantics. Presents Apex as production‑grade on YARN with a buffer server and per‑operator locality that lets systems dynamically reconfigure and avoid cascading failures, at the cost of higher complexity.

AI-written summary · about

  1. 0:00Introduction to streaming
  2. 1:19Batch vs streaming systems
  3. 7:41Key differentiators in frameworks
  4. 9:26Apache Storm overview
  5. 16:30Apache Flink deep dive
  6. 27:05Apache Apex strengths
  7. 33:25State management in streaming
  8. 36:17Q&A session
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