We talk about how Kafka helps you to radically simplify your data architectures. We cover how you can build applications to serve your processing needs — rather than building clusters or similar special-purpose infrastructure — and still benefit from scalability, elasticity, and fault-tolerance. We introduce Kafka’s Streams API, its abstractions for streams and tables, and interactive queries.
Moderator
Michael Noll
Michael is a principal technologist in the Office of the CTO at Confluent, the company founded by the creators of Apache Kafka. He focuses on longer-term product and technology strategy. Previously, Michael was the lead product manager for stream processing at Confluent, where his team created Kafka Streams and the streaming database ksqlDB. He is a well-known technology blogger in the big data community (www.michael-noll.com) and a committer/contributor to open source projects such as Apache Storm and Apache Kafka.