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Joining Dozens of Data Streams in Distributed Stream Processing Systems

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Joining Dozens of Data Streams in Distributed Stream Processing Systems
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60
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Release Date2023
LanguageEnglish

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Abstract
As real-time data processing becomes increasingly essential, organizations face the challenge of efficiently joining and correlating data from multiple streams to gain valuable insights using distributed stream processing systems. This talk will explore the techniques and best practices for joining dozens of data streams, focusing on different joining mechanisms, such as binary joins and delta joins, as well as their pros and cons. Attendees will gain an understanding of various stream join techniques, learn how to optimize performance in distributed environments and apply lessons from industry experiences. Furthermore, the talk will discuss leveraging decoupled compute-storage architecture to reduce join costs. This knowledge will enable participants to harness the full potential of their data, creating efficient and powerful distributed stream processing solutions for their organizations.