Machine Learning with Apache Spark & Cassandra

Spark + Cassandra = ❤️

Spark + DataStax Astra = 🔥 🚀 🌠

A hands-on workshop delivered by DataStax's Developer Advocates and Data Architect team

Want to learn about the awesomness of distributed databases and computational systems? Want to get hands-on with DataStax's Cassandra-as-a-Service offering (for free!) and use popular Machine Learning tools and algorithms? Join in and follow along with this workshop!

Requirements

DataStax Astra Registration (sign up with the email you used to register for the workshop!)
git
Docker
Docker-compose (included with Docker Desktop for Mac and Windows installs)

Installation

git clone https://github.com/jamesc127/machine-learning-workshop-astra-online.git
cd machine-learning-workshop-astra-online
docker-compose up -d

Setup

Download the Secure Connect Bundle for your Astra Database
Move the Secure Connect Bundle to ./jupyter/secureconnect
For the Cassandra lab, access DataStax Developer Studio on Astra
For the Spark labs, access Jupyter Notebooks: http://localhost:8888 password: datastax
- Your Docker image needs to be running before this link will work
Start with the K-Means notebook
Have Fun! :-)

Known Issues

You may need to use some custom IP instead of localhost if you use docker-for-mac, docker-for-windows or similar installation.
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.

Jasselpf/machine-learning-workshop-astra-online