

Episode 433: Jay Kreps on ksqlDB
Nov 6, 2020
Jay Kreps, CEO and Co-founder of Confluent discusses ksqlDB, a database for stream processing. Topics include querying data with ksqlDB, its architecture and scalability, handling changes and schema, query planning and optimization, stream processing anti-patterns, the future of ksqlDB, and the importance of event streaming.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Introduction
00:00 • 5min
Introduction to Kafka Topics and Stream Processing
04:33 • 17min
Differences between querying data in ksqlDB and regular SQL
21:47 • 2min
ksqlDB Architecture and Scalability
24:10 • 16min
Dealing with Changes and Schema from Upstream Publishers of Data
39:45 • 2min
Query Planning and Optimization
42:10 • 9min
Anti-patterns in stream processing and the future of ksqlDB
51:28 • 4min
The Importance of Event Streaming and ksqlDB
55:27 • 2min