SESSION + Live Q&A
Next Steps in Stateful Streaming with Apache Flink
Come learn how Apache Flink is making stateful stream processing even more expressive and flexible to support applications in streaming that were previously not considered streamable.
Over the last years, data stream processing has redefined how many of us build data pipelines. Apache Flink is one of the systems at the forefront of that development: With its versatile APIs (event-time streaming, Stream SQL, events/state) and powerful execution model, Flink has been part of re-defining what stream processing can do. By now, Apache Flink powers some of the largest data stream processing pipelines in open source data stream processing.
Ranging from batch and streaming pipelines and analytics to microservices and applications, Flink has been used for a wide range of applications that can be unified under the paradigm of data stream processing. A key ingredient to that flexibility is Flink's handling of Streams and State. In the talk we will show how these are handled in Flink today and how they form a powerful abstraction for both streaming analytics and applications. We will also look at the future of stateful processing in Flink, and some new abstractions that extend the range of addressable use cases.
Speaker
Stephan Ewen
Committer @ApacheFlink, CTO @dataArtisans
Stephan Ewen is a PMC member and one of the original creators of Apache Flink, and co-founder and CTO of data Artisans (data-artisans.com). He holds a Ph.D. from the Berlin University of Technology.
Read moreFind Stephan Ewen at:
Location
Whittle, 3rd flr.
Track
Stream Processing in the Modern Age
Topics
Stream ProcessingApache FlinkData AnalyticsInterview AvailableDataEngShare
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