Stream Data Processing for Fun and Profit

Explore the world of stream data processing in this comprehensive conference talk. Delve into the origins, mechanisms, and applications of stream processing, learning how to build robust applications that handle massive data streams efficiently. Examine popular industry platforms like Apache Storm and Apache Spark, as well as emerging frameworks such as Flink, Kafka Streams, Apex, and Microsoft Orleans Streams. Gain insights into selecting the right streaming data framework for specific use cases, ensuring reliable, scalable, and robust system design while avoiding costly redesigns. Discover how to process hundreds of thousands or millions of events per second without compromising speed or reliability, addressing the critical need for quick and dependable data handling in modern software systems.

Stream Data Processing for Fun and Profit - David Ostrovsky