Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Jun Rao

Jun Rao
Cofounder, Confluent

Website

Jun Rao is the cofounder of Confluent, a company that provides a streaming data platform on top of Apache Kafka. Previously, Jun was a senior staff engineer at LinkedIn, where he led the development of Kafka, and a researcher at IBM’s Almaden research data center, where he conducted research on database and distributed systems. Jun is the PMC chair of Apache Kafka and a committer of Apache Cassandra.

Sessions

2:55pm3:35pm Wednesday, September 27, 2017
Big data and the Cloud, Data Engineering & Architecture
Location: 1E 07/08 Level: Intermediate
Jun Rao (Confluent)
Average rating: *****
(5.00, 3 ratings)
Over the last few years, streaming platform Apache Kafka has been used extensively for real-time data collecting, delivering, and processing—particularly in the enterprise. Jun Rao leads a deep dive into some of the key internals that help make Kafka popular and provide strong reliability guarantees. Read more.
11:20am12:00pm Thursday, September 28, 2017
Secondary topics:  Streaming
Dean Wampler (Lightbend), Jun Rao (Confluent), Karthik Ramasamy (Streamlio), Pramod Immaneni (DataTorrent)
Average rating: ***..
(3.00, 1 rating)
In a series of three 11-minute presentations, key members of Apache Kafka, Heron, and Apache Apex discuss their respective implementations of exactly once delivery and semantics. Read more.
Jun Rao (Confluent)
Apache Kafka’s rise in popularity as a streaming platform has demanded a revisit of its traditional at least once message delivery semantics. In this talk, we'll present the recent additions to Apache Kafka to achieve exactly once semantics. We'll also discuss the newly introduced transactional APIs and use the Kafka Streams API as an example to show how these APIs are leveraged for streams tasks.