Keynote: Apache Kafka and the Rise of the Streaming Platform
summary
Argues that Apache Kafka has grown from messaging into a company-wide streaming platform that stores petabytes and already underpins about a third of Fortune 500 mission‑critical systems. Describes concrete components: Kafka Streams API for continuous processing, Kafka Connect for source/sink connectors and ksql for streaming SQL. Shows real use cases — IoT fleets, instant credit card processing, real‑time fraud detection, breaking monoliths into event‑driven microservices — and claims this is the central nervous system for real‑time data.
AI-written summary · about
chapters (9)
- 0:00Start
- 2:33Internet of Things
- 3:23Banking
- 4:27The Streaming Platform
- 6:25Three Lenses
- 6:44Messaging done right.
- 9:36Hadoop made fast.
- 13:12ETL and Data Integration as a platform.
- 15:53What Does The Future Hold?
related talks
50mBuilding Data Streaming Platform with Apache Kafka
01h 00mKafka as a Platform: the Ecosystem from the Ground Up
36mKafka Streaming, the Pythonic Way
50mA Journey in Space with Apache Kafka data streams from NASA
55mThe data dichotomy: Rethinking data and services with streams
07mTransforming Big Data into Real-Time Product Insights
38mOn Track with Apache Kafka
41mFast Data - an Overview of the Concepts, Architecture and Technology of Streaming Analytics
