This tutorial is meant to serve as a definitive guide and not a step-by-step walkthrough and hence, the steps might slightly differ depending on the system and development environment.
## Note
The code is current hosted in a separate git. We will move it into this space later on.
This tutorial deals with performing streaming analytics using Apache spark. We attempt to model a real-world workflow where streaming data is coming from message broker and the stream processing engine ingests the messages. The result is then feedback on the same message broker.
*[An acommpanying hands-on video is available](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=ab115ae1-0d37-435e-8587-abe600d04d6a)
This tutorial is meant to serve as a definitive guide and not a step-by-step walkthrough and hence, the steps might slightly differ depending on the system and development environment.
## Note
Some code for the tutorial are still hosted in another GIT. We will move them into this space later on.