Flink Forward is the conference for Apache Flink® and the stream processing communities. Join core Flink committers, new and experienced users, and thought leaders to share experiences and best practices in stream processing, real-time analytics, event-driven applications, and managing mission-critical Flink deployments in production.
At Flink Forward, participants have the opportunity to hear from experts who have built scalable streaming infrastructure and enterprise-grade applications, view live demos and attend in-depth technical talks on the internals of stream processing technologies. Participants learn how global companies like Google, Yelp, eBay, Alibaba, Uber, American Express, Netflix, Lyft, and Capital One use Flink as the stream processing engine of choice for large-scale stateful applications, including real-time analytics, real-time search and content ranking, fraud/anomaly/threat detection.
Flink Forward kicks off with a 2 full days of training sessions, August 1-2. Our training sessions are led by members of the Ververica team. A higher quality training session is hard to find! You’ll take part in a hands-on learning session led by true experts. The training day is followed by a conference day on August 3rd with keynotes and talks on production Flink use cases, to Apache Flink® internals, to the growth of the Flink ecosystem, and many more topics on stream processing and real-time analytics. After an inspiring day of technical sessions, we invite you to celebrate with us at Flink Fest in the evening on August 3rd.Register now!
Apache Flink® is an open source stream processing platform for real-time analytics and real-time applications. It provides efficient, fast, accurate, and fault tolerant handling of massive streams of events. Apache Flink® also supports batch processing as a special case of stream processing.
If you’re new to stream processing and would like to learn more, check out “What is stream processing?” on the
We started data Artisans (now
From the very beginning, we developed Apache Flink® in the open source, and we witnessed and led Flink’s rapid community growth and industry adoption.