A Practical Guide to Selecting a Stream Processing Technology - 5 out of 6
Thursday, December 1, 2016
10:00am PT | 1:00pm ET | 7:00pm CET
Recording Time: A Practical Guide to Selecting a Stream Processing Technology - 1:00:55
Why are there so many stream processing frameworks that each define their own terminology? Are the components of each comparable? Why do you need to know about spouts or DStreams just to process a simple sequence of records? Depending on your application’s requirements, you may not need a full framework at all.
Processing and understanding your data to create business value is the ultimate goal of a stream data platform. In this talk we will survey the stream processing landscape, the dimensions along which to evaluate stream processing technologies, and how they integrate with Apache Kafka. Particularly, we will learn how Kafka Streams, the built-in stream processing engine of Apache Kafka, compares to other stream processing systems that require a separate processing infrastructure.
This is talk 5 out of 6 from the Kafka Talk Series. Recorded on December 1, 2016.