Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA

The rise of real time: Apache Kafka and the streaming revolution

Jay Kreps (Confluent)
11:00am11:40am Wednesday, March 15, 2017
Stream processing and analytics
Location: LL20 C Level: Beginner
Secondary topics:  Streaming

Who is this presentation for?

  • Anyone who wants to learn more about Apache Kafka and stream processing

Prerequisite knowledge

  • A basic understanding of Apache Kafka and stream-processing architectures

What you'll learn

  • Understand the importance of stream processing and how it will change the ways businesses deal with real-time data

Description

The move to streaming architectures from batch processing is a revolution in how companies use data. But what is the state of the union for stream processing, and what gaps remain in the technology we have? How will this technology impact the architectures and applications of the future? Jay Kreps explores the future of Apache Kafka and the stream processing ecosystem.

Photo of Jay Kreps

Jay Kreps

Confluent

Jay Kreps is the cofounder and CEO of Confluent, a company focused on Apache Kafka. Previously, Jay was one of the primary architects for LinkedIn, where he focused on data infrastructure and data-driven products. He was among the original authors of a number of open source projects in the scalable data systems space, including Voldemort (a key-value store), Azkaban, Kafka (a distributed messaging system), and Samza (a stream processing system).

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