Stream Patterns
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The document discusses streaming data architectures and technologies. It mentions using Kafka and Spark with Cassandra for streaming analytics. Some key applications are client side joins, analytics, machine learning, and notifications/alerts. It also discusses stream processing engines, client side joins, stream aggregation, technology evolution, and data pipelines. The principal software architect thanks the audience at the end of the presentation.
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Stream Patterns
- 2. Events
- 3. Sources
- 4. The need for a TW system
- 9. kafka + spark + cassandra
- 10. kafka + spark + cassandra Client side Join Analytics Large Scale ML Notifications / Alerts
- 11. kafka
- 12. Pick a Stream Engine
- 15. Tech Evolution
- 16. Data Pipeline
- 17. @diego_pacheco Principal Software Architect Stream Patterns Thank You ! Obrigado !