Machine Learning with Apache Spark & Cassandra

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.

🔗 More in this category