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Apache Flink: An Introduction and Outlook into the Future

Apache Flink is a distributed, stateful stream processor. It features exactly-once state consistency, sophisticated event-time support, high throughput and low latency processing, and APIs at different levels of abstraction (Java, Scala, SQL). Flink powers some of the worlds largest streaming applications at Alibaba, Netflix or Uber and is deployed in production at many other companies.

In his talk Fabian Hueske will give an introduction to Apache Flink, its features and discusses the use cases it solves. Moreover, he'll explain why batch is just a special case of stream processing, how its community evolves Flink into a truly unified stream and batch processor and what this means for its users.

Vorkenntnisse

• Basics of distributed data processing (Hadoop, Spark, etc.) might be helpful

Lernziele

• State-of-the-art stream processing concepts
• Apache Flink, its features, and use cases
• Flink's future and how batch and stream processing can be unfied

Speaker

Fabian Hueske is one of the original authors and a PMC member of Apache Flink and a member of the Apache Software Foundation. In 2014, he co-founded data Artisans (now Ververica), a Berlin-based startup devoted to fostering Flink, which was acquired by Alibaba in 2019. He holds a PhD in computer science from TU Berlin and is an author of "Stream Processing with Apache Flink".

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