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

• CodeLabs Cassandra+Spark
• Introduction to Machine Learning with Apache Cassandra and Apache Spark

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.