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ING to keynote conference along with sessions from Bank of New York Mellon, LinkedIn, Goldman Sachs, Google and Target, among others
PALO ALTO, Calif. – February 16, 2017 – The committee for Kafka Summit has released the keynotes, agenda and sponsors for Kafka Summit New York, taking place on May 8, 2017, at the New York Hilton Midtown. Kafka Summit, the premier streaming systems event for data engineers and developers, brings the Apache Kafka® community together to share best practices, write code and discuss the future of streaming technologies. The conference further supports the growing Apache Kafka community and will share the latest and greatest in stream processing and real-time data pipelines. Kafka Summit will be surrounded by related events including a hackathon, a tutorial for new Kafka developers and an in-depth, multi-day training for advanced users. The updated agenda can be found here.
The conference will host 24 sessions across three tracks: systems, streaming data pipelines and stream processing. Keynote presentations will feature Jay Kreps, original co-creator of Apache Kafka and CEO at Confluent; Neha Narkhede, original co-creator of Apache Kafka and CTO at Confluent; and Ferd Scheepers, Chief Information Architect at ING. In addition, dozens of speakers across many industries will share their experiences running Kafka at scale. Featured sessions include:
Sessions were selected by the Kafka Summit committee from more than 100 submitted speaker proposals. The committee includes streaming data experts from Cloudera, Confluent, Google, LinkedIn, O’Reilly Media and Pivotal.
“Our vision for Kafka Summit is to bring together the best minds in the Apache Kafka community as well as leading companies that believe in and are successfully putting stream processing in practice,” said Neha Narkhede, original co-creator of Apache Kafka and CTO at Confluent. “We’re looking forward to a conference where we can share new ideas, interact with the community and talk about the latest in Apache Kafka and stream processing.”
Kafka Summit attendees will have the opportunity to experience demos and discussions with some of the most forward-thinking data companies. Sponsors for Kafka Summit include The Apache Software Foundation, Attunity, Cloudera, Datadog, Elastic, Eventador.io, Heroku, Kinetica, Lightbend, LinkedIn, MemSQL, Microsoft, MongoDB and Yelp.
Join the Kafka Summit Hackathon on Sunday, May 7 from 6pm – 10pm to compete against other Apache Kafka users to create stream processing applications. The free event is happening the night before Kafka Summit New York, and open to all attendees and non-attendees of the conference. For more details and to register: https://kafka-summit.org/kafka-summit-ny-hackathon/.
The up-to-date agenda can be found here: https://kafka-summit.org/kafka-summit-ny/schedule/; and for the full list of sponsors, please visit: https://kafka-summit.org/kafka-summit-ny/sponsors/.
For more information about Kafka Summit and to register to attend, please visit www.kafka-summit.org.
About Apache Kafka****®
Apache Kafka® is a distributed streaming platform. It is used for building real-time data pipelines and streaming applications. It is horizontally scalable, fault-tolerant, wicked fast and runs in production in thousands of companies.
About Confluent
Confluent, founded by the original creators of open source Apache Kafka®, provides the only streaming platform that enables enterprises to maximize the value of data. Confluent Enterprise lets leaders in industries such as retail, logistics, manufacturing, financial services, technology and media, move data from isolated systems into a real-time data pipeline where they can act on it immediately. Backed by Benchmark, Data Collective, Index Ventures and LinkedIn, Confluent is based in Palo Alto, California. To learn more, please visit www.confluent.io. Download Apache Kafka and Confluent Open Source at www.confluent.io/download.
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© Confluent, Inc. 2014–2017. All rights reserved. Apache, Apache Kafka and Kafka are trademarks of the Apache Software Foundation. All other marks used are the property of their respective owners.