Cassandra + Spark = ❤️
A Hands-on Lab delivered by DataStax' Developer Advocates team. Want to learn the awesomness of distributed databases and computational systems? Jump in, watch the slides and do the practicals steps!
Slides
Labs
Reqs
- git
- docker
- docker-compose
Installation
git clone https://github.com/HadesArchitect/CaSpark.git cd CaSpark docker-compose up -d
Usage
- For the Cassandra labs, access DataStaxs Studio: http://localhost:9091
- For the Spark labs, access Jupyter Notebooks: http://localhost:8888 password:
datastax
You may need to use some custom IP instead of localhost if you use docker-for-mac, docker-for-windows or similar installation.
Known Issues
In some cases executing the exercises may lead to memory issues, especially on weaker or non-Linux machines due to docker limitations on memory. If you have any issues with exercises after the first few, try to clean up and start again docker-compose kill && docker-compose down && docker-compose up -d. You may need to repeat steps of the notebook you were working on.
