Many students had some problems to install Spark and Jupyter Notebook to use it in the laboratory for the course data management in large-scale distributed systems. In order to avoid these problems I decided to use Docker and create a configuration file for easy deployment. Finally this repository contains the exercises and the solutions that I got so you can compare with yours.
GitHub limits the files to 100MB. You need to download the datasets and put it in the data folder. The dataset that we used were:
Clone the repository and use docker compose to run the containers with the image of the Spark and Jupyter Notebook.
git clone https://github.com/alvarogonjim/DMLSDS.git
cd DMLSDS/
docker-compose upThe output in the terminal will be the URL of the notebook some users had problems to connect to the notebook using the format http://127.0.0.1:8888/?token=... you have to replace 127.0.0.1 by localhost like that: http://localhost:8888/?token=...
Pull requests are welcome. If you have different solutions, please open an issue first to discuss what you would like to change.