FADI - A framework for big data analytics

What is FADI?

The purpose of FADI is to provide a straightforward way to deploy integrated and modular Big Data systems to various infrastructures (private and public clouds). FADI relies on the Kubernetes container orchestration engine for portability and scalability.

Quick start

1. Install the framework on your workstation
2. Try a simple use case (or more advanced usage examples)

You can find a more detailed explanation of FADI in the presentation slideshow and in the documentation section

FADI Helm Chart

This repository contains the Helm chart to install FADI in a Kubernetes cluster.

Support

In case you encounter an issue with FADI, have a feature request or any other question, feel free to open an issue.

Feel also free to check out the FAQ!

Contributors

Thanks goes to these wonderful people (emoji key):

Sebastien Dupont 💻 👀	Alexandre Nuttinck 💻 👀 🚇	Amen Ayadi 💻 🎨	Faiez Zalila 💻 ⚠️	Fabian Steels 🤔	Stephane Mouton 📆	Nikolaos Matskanis 📆
Tom Selleslagh 📖	Terence Delsate 💻	Maher Badri 📆	Mathieu Goeminne 🤔	Rami Sellami 👀⚠️

This project follows the all-contributors specification. Contributions of any kind welcome! (see the contributions guidelines)

About

You can find out more about FADI on the CETIC website

License