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Structure and Interpretation of Stream Processing

In recent years, distributed stream processing systems (DSPS) have become the de-facto standard for processing fast data. In this comparative study, we look at the fundamental of stream processing. We give an overview of how the streaming landscape has evolved, and analyze the state-of-the-art DSPSs from two main perspectives: programming models and execution semantics. While basing a foundation on their commonalities, we build a core abstraction to reason about their semantics. Based on that we differentiate the different approaches of DSPS in addressing the core issues of stream processing.

Session length
40 minutes
Language of the presentation
English
Target audience
Intermediate: Requires a basic knowledge of the area
Who is your session intended to
Anyone who is interested in:
Streaming Analytics and Fast Data capabilities.
Understanding the fundamental of Stream Processing.
Varying approaches to (distributed) stream processing, their programming models, execution models and notable properties that potentially can help the audience in differentiating different approaches and selecting in right one for the problem.
Speaker
Adil Akhter (ING)
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