Data Stream Processing: Management and Challenges

In course

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Description

This lecture covers the management of data streams, including traditional DBMS versus data streams, real-time network applications, stock monitoring examples, and challenges in analyzing packet-level statistics. It also discusses the data stream model, special cases, and the facets of data and time in stream processing. Efficient stream management strategies and scaling-out platforms for real-time requirements are presented, along with examples of platforms like Spark Streaming, Apache Flink, and Apache Kafka.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_44k8lcgc

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