Stream processing beyond streaming data
Who is this presentation for?
- Data engineers, architects, and data scientists
Stream processing is becoming something like a “grand unifying paradigm” for data processing. Outgrowing its original space of real-time data processing, stream processing is becoming a technology that offers new approaches to data processing (including batch processing), real-time applications, and even distributed transactions.
Stephan Ewen and Aljoscha Krettek dive into these developments from the view of Apache Flink and present some of the major efforts in the Flink community to build a unified stream processor data processing and data-driven applications. Flink already powers many of the world’s most demanding stream processing applications. They explore the approach of Flink’s next-generation streaming runtime that offers a state-of-the-art batch processing experience and performance. A new machine learning library, built on top of a unique new API, supports many algorithms to train dynamically across static and real-time data. And they examine the new building blocks stream processing offers for data-driven applications that open a new direction to solve application consistency. You’ll see use cases from different users, showing how companies apply this broader streaming paradigm in practice.
With use cases from different users, we show how companies apply this broader streaming paradigm in practice.
- A basic understanding of stream processing (useful but not required)
What you'll learn
- Understand the breadth of changes that stream processing is introducing to data infrastructures and to the way we build applications and which areas are most likely to be affected next
Stephan Ewen is a cofounder and chief technology officer at Ververica, where he leads the development of the stream processing platform based on open source Apache Flink. He’s also a PMC member and one of the original creators of Apache Flink. Previously, Stephan worked on in-memory databases, query optimization, and distributed systems. He holds a PhD from the Berlin University of Technology.
Aljoscha Krettek is a cofounder and software engineer at Ververica. Previously, he worked at IBM Germany and at the IBM Almaden Research Center in San Jose. Aljoscha is a PMC member at Apache Beam and Apache Flink, where he mainly works on the streaming API and designed and implemented the most recent additions to the windowing and state APIs. He studied computer science at TU Berlin.
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