Berlin 2018
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 full day of training sessions on September 3rd. Our training sessions are led by members of the
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.
data Artisans engineers wrote the first lines of code of what would later become Apache Flink®. As members of the open source community, the team at data Artisans is 100% dedicated to our work in further developing Apache Flink®, so it continues to be the most powerful and modern stream processor available.
If you’re new to stream processing and would like to learn more, check out “What is stream processing?” on the data Artisans site.
Learn more about Apache Flink®
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.
Apache Flink, Flink and Apache are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries, and are used with permission. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided at this event.