Best Practices for Analyzing Kafka Event Streams
Dhruba Borthakur discusses various design patterns for building analytics on Kafka event streams in this tech talk.
The rapid adoption of Kafka as a streaming platform has created a growing need for organizations to unlock the value in their Kafka data. In this tech talk, Dhruba Borthakur discusses various design patterns for building analytics on Kafka event streams. He will review the top considerations for analytics on Kafka - including data latency, query performance, ease of use, and scalability - and share best practices when selecting an analytics stack for Kafka data.
About the Speaker
Dhruba is the CTO and co-founder of Rockset. He was an engineer on the database team at Facebook, where he was the founding engineer of the RocksDB data store. Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System.