5 New Ways to Use Data in Your Kafka
summary
Practical techniques for using Kafka data in five new ways: building per-second updating dashboards, real-time fraud detection, and fast reliable rendering of a user’s transaction feed. The talk covers concrete patterns and tools around Kafka for low-latency analytics, event-driven processing, and serving user-facing streams.
AI-written summary · about
chapters (13)
- 0:00Introduction
- 1:07Fast data for analytics
- 5:40Database load optimization
- 14:08Team responsibility split
- 16:35Real-time dashboards
- 20:10Data aggregation and transformation
- 27:11Streaming frameworks role
- 33:37Kafka Connect management
- 35:42Data schemas and evolution
- 37:06CDC and alternatives
- 38:55Avoiding misuse cases
- 41:02Data consistency
- 42:49Q&A
related talks
06mJay Kreps interview
49mEnriching Kafka Applications With Real-time Contextual Data
50mApplication development and data in the emerging world ...
26mLeveraging Data in Motion in a Cloud-first World
44mProcess and analyze millions of events per second with open source tools
50mIntroduction to Apache Kafka
21mStreaming DataFrames: A New Way to Process Streaming Data
28mTransforming the Financial Services Industry with Event Stream Data
