Commit 6ea65627 authored by Raj Rohit's avatar Raj Rohit

Small cleanup of tutorial

parent 9f26665d
......@@ -132,6 +132,3 @@ https://github.com/rohitshubham/Cloud-pipeline/blob/master/DatabaseIngestor/Mong
---
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.
# Tutorial: Streaming Analytics with Apache Spark
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)
*[Slides](slide/cs-e4640-hands-on-sparks-streaming.pptx)
* [An acommpanying hands-on video is available](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=ab115ae1-0d37-435e-8587-abe600d04d6a)
* [Slides](slide/cs-e4640-hands-on-sparks-streaming.pptx)
### Prerequisite knowledge:
- docker and docker-compose
......@@ -155,5 +155,3 @@ $ python3 client-report.py "192.168.0.1:38282" report
---
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.
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