Project Metamorphosis: Wir präsentieren die Event-Streaming-Plattform der nächsten Generation. Mehr erfahren

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.

Moderator

Michael Noll

Michael Noll is a product manager at Confluent working on Kafka Streams. Previously, Michael was the technical lead of the Big Data platform of .COM/.NET DNS operator Verisign, where he grew the Hadoop, Kafka, and Storm based infrastructure from zero to PetaByte-sized production clusters spanning multiple data centers – one of the largest Big Data infrastructures operated from Europe at the time. He is an experienced tech speaker and avid tech blogger in the Big Data community (www.michael-noll.com) and serves as a technical reviewer for publishers such as Manning in his spare time. Michael received a Master’s in Computer Science and Business, as well as a PhD in Computer Science.