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Distributed causal stream merging
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Classroom Contents
Data in Motion - Streaming Static Data Efficiently in Akka Persistence
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- 1 Intro
- 2 Databases
- 3 Batch processing
- 4 Data at scale
- 5 Streaming static data
- 6 Pulling data from source
- 7 Inserts
- 8 Updates
- 9 Pushing data from source
- 10 Infinite streams of finite data source
- 11 Log data structure
- 12 Pulling data from a log
- 13 Akka Persistence Query Cassandra
- 14 Actor publisher
- 15 Events by persistence id
- 16 All persistence ids SELECT DISTINCT persistence_id, partition T
- 17 Events by tag
- 18 Akka Persistence Cassandra Replay
- 19 Non blocking asynchronous replay
- 20 Benchmarks
- 21 Alternative architecture
- 22 Event time processing
- 23 Ordering
- 24 Distributed causal stream merging
- 25 Exactly once delivery
- 26 Optimisation
- 27 Table and stream duality
- 28 Infinite streams application
- 29 Distributed systems
- 30 Challenges
- 31 Conclusion
