Tim Berglund and Magesh Nandakumar discuss why schemas matter for building systems on Apache Kafka®, and how Confluent Schema Registry helps with the problem. They talk about how Schema Registry works, how you can collaborate around schema change through `avsc` files, and what it means for this to be available in Confluent Cloud today.

Tim Berglund and Michael Drogalis talk about all things stream processing: why it’s complex, how it has evolved, and what’s on the horizon to make it simpler.

Tim Berglund is joined by Viktor Gamov (Developer Advocate, Confluent) to discuss various approaches to testing Kafka Streams applications.

Chris Riccomini tells us how Apache Kafka® and the stream processing framework Samza came about, and also what he’s doing these days at WePay—building systems that use Kafka as a primary datastore.

Gwen and Kai chat about machine learning architectures, and whether software engineers and data science can learn to get along.