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The Best Thing Since Partitioned Bread

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.

Presenter

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.