PALO ALTO, CA — (Marketwired) — 03/28/16 — , founded by the creators of Apache Kafka, today announced that several members of its team will be delivering key sessions about Kafka — including best practices for real-world use cases and implementations — at , which will take place between March 28-31 at the San Jose Convention Center.
Kafka is increasingly being adopted as a central data platform for streaming data, and Confluent–s multiple sessions will help developers, data scientists, analysts and executives develop skills and familiarity with the stream processing platform. To address the skills gap for developers looking to implement Kafka, Confluent will host multiple tutorials, office hours and ask-me-anything (AMA) sessions designed to introduce new users to Kafka through practical explanations and tips for deployments. Sessions include:
Tutorial: “,” with director of product and data science Joseph Adler, technical trainer Jesse Anderson, engineer Ewen Cheslack-Postava and director of education services Ian Wrigley on March 29 at 9:00 a.m. in room LL21 A
Tutorial: “,” with Adler, Cheslack-Postava and Wrigley on March 29 at 1:30 p.m. in room 210 A/E
“,” on March 30 at 11:50 a.m. at O–Reilly Booth, Table A
“,” with Adler, Anderson, Cheslack-Postava and Confluent co-founders and Kafka co-creators Neha Narkhede and Jun Rao on March 31 at 2:40 p.m. in room 211 A-C
Confluent will also present deeper dives into Kafka and stream processing for more experienced users looking to take their deployments to the next level. Featured sessions include:
“,” with Confluent CEO and Kafka co-creator Jay Kreps on March 30 at 11:00 a.m. in room 210 C/G
“,” with Rao on March 30 at 11:50 a.m. in room LL21 B
“,” with system architect Gwen Shapira and LinkedIn staff site reliability engineer Todd Palino on March 30 at 5:10 p.m. in room 210 C/G
“” with software engineer Guozhang Wang on March 31 at 11:50 a.m. in room 210 C/G
“Businesses are facing a paradigm shift in data as they must now make sense of a growing influx of data flooding the enterprise, and the use of Apache Kafka as a central data pipeline continues to increase with the growing need for real-time data,” said Confluent CTO Neha Narkhede. “We are thrilled for the opportunity to work with aspiring Kafka engineers looking to embrace stream processing within their own organizations.”
Visit booth #838 to meet the team and learn more. Confluent will also be hosting several book signings during the event:
“” (O–Reilly Media, Feb. 2016) with authors Narkhede, Shapira and Palino
March 30 at 1:00 – 1:30 p.m. at Confluent Booth #838
March 30 at 6:20 – 6:50 p.m. at the O–Reilly Booth
March 31 at 1:00 p.m. – 1:30 p.m. at Confluent Booth #838
“” (O–Reilly Media, Sept. 2014) with author Kreps
March 30 at 3:20 – 3:50 p.m. at Confluent Booth #838
March 31 at 10:30 p.m. – 11:00 a.m. at Confluent Booth #838
To continue the discussion about stream processing and Kafka, Confluent will host the inaugural Kafka Summit on April 26 at the Hilton Union Square in San Francisco. For more information or to register for Kafka Summit, please visit .
Apache Kafka is an open source technology that acts as a real-time, fault tolerant, highly scalable messaging system. It is widely adopted for use cases ranging from collecting user activity data, logs, application metrics, stock ticker data and device instrumentation. Its key strength is its ability to make high volume data available as a real-time stream for consumption in systems with very different requirements — from batch systems like Hadoop, to real-time systems that require low-latency access, to stream processing engines that transform the data streams as they arrive. This infrastructure lets you build around a single central nervous system transmitting messages to all the different systems and applications within a company.
Confluent, founded by the creators of Apache Kafka, enables organizations to harness business value from stream data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large volume data integration to big data analysis with Hadoop to real-time stream processing. Backed by Benchmark, Data Collective, Index Ventures and LinkedIn, Confluent is based in Palo Alto. To learn more, please visit . Download Apache Kafka and Confluent Platform at .
Jill Reed or Alex Cardenas
Highwire PR for Confluent
(415) 963-4174, ext. 5
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