Loading…
This event has ended. Visit the official site or create your own event on Sched.
View analytic
Wednesday, October 5 • 12:20pm - 1:10pm
Distributed stream processing with Apache Kafka

Sign up or log in to save this to your schedule and see who's attending!

A modern business operates 24/7 and generates data continuously. Shouldn’t we process it continuously too?

A rich ecosystem of real-time data-processing frameworks, tools and systems has been forming around Apache Kafka that allows data to be processed continuously as it occurs. Jay Kreps will introduce Kafka and explain why it has become the de facto standard for streaming data. He will draw on practical experience building stream-processing applications to discuss the difference between architectures and the challenges each presents. Jay will then outline Kafka Streams, which offers new stream processing functionality in Kafka, and explain how it helps tame some of the complexity in real-time architectures.

Speakers
avatar for Jay Kreps

Jay Kreps

Co-founder and CEO, Confluent
Jay Kreps is the co-founder and CEO of Confluent, a company backing the popular Apache Kafka messaging system. Prior to founding Confluent, he was the lead architect for data infrastructure at LinkedIn. He is among the original authors of several open source projects including Project Voldemort (a key-value store), Apache Kafka (a distributed messaging system) and Apache Samza (a stream processing system).


Wednesday October 5, 2016 12:20pm - 1:10pm
Zilker Ballroom 3+4

Attendees (68)