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Applications in the Emerging World of Stream Processing

Talkat GOTO Chicago 2016 · 2016-05-23..05-26· [data-engineering]
slides:none on file

A Java library built on Apache Kafka, Kafka Streams runs embedded in applications, uses Kafka group management to load‑balance processing, and offers local durable state (RocksDB or in‑memory) whose updates are written to changelog topics using log compaction. Reprocessing happens by resetting consumer offsets to zero; that enables a real‑time inventory table plus independent reorder and pricing services from the same changelog. Kafka Connect (≈30 connectors) and Kafka 0.10 ship these features.

AI-written summary · about

  1. 0:00Start
  2. 2:29Request Response
  3. 10:14Stream Processing Approaches
  4. 10:57State Management
  5. 13:14Stream Processing for Application Development
  6. 14:51Processor Api
  7. 15:47High Level Dsl
  8. 16:53Ordering
  9. 17:39Partitioning and Scalability
  10. 18:26Data Parallelism
  11. 18:41Group Management
  12. 19:40Fault Tolerance
  13. 25:04The Compaction Policy
  14. 38:39Reorder Inventory Application
  15. 42:47Kafka Connect
  16. 43:13Kafka Connectors
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