In this talk, we’ll show how a streaming platform can be considered Hadoop Made Fast. With Apache Kafka and it’s Streams API it’s possible to move much of what you would have done in a batch-oriented, sluggish process into a real-time one. We’ll cover the benefits of bringing concepts of Hadoop to real-time applications.
Then, Greg Fodor will share how he's worked with stream processing to solve hard VR challenges. This includes real-time mirroring, capture, and playback of networked avatars in a shared VR environment. Greg will also cover the design patterns they used for Kafka's Streams API and the lessons they learned along the way.
Technical Product Marketing Manager, Confluent