Bootcamp Data Engineering

One week to learn Data Engineering :rocket:

Table of Contents

• Curriculum
  • Module00 - PostgreSQL
  • Module01 - Elasticsearch
  • Module02 - AWS
  • Module03 - Hadoop
  • Module04 - Spark
• Acknowledgements
  • Contributors

This project is a Data Engineering bootcamp created by 42 AI.

A prior Python programming experience is required (the Python bootcamp)! Your mission, should you choose to accept it, is to come and learn some of the essential knowledge for Data Engineering, in a single week. You will start with SQL and NoSQL languages and then get acquainted with some useful tools/frameworks for Data Engineering like Airflow, AWS and Spark.

42 Artificial Intelligence is a student organization of the Paris campus of the school 42. Our purpose is to foster discussion, learning, and interest in the field of artificial intelligence, by organizing various activities such as lectures and workshops.

Curriculum

Module00 - PostgreSQL

Let's get started with PostgreSQL! :link:

Filter Data, Normalize Data, Populate tables, Data Analysis ...

Module01 - Elasticsearch

Get acquainted with Elasticsearch :mag_right:

Elasticsearch setup, Data Analysis, Aggregations, Kibana and Monitoring ...

Module02 - AWS

Start exploring the cloud on AWS! :cloud:

Discover AWS, Flask APIs and infrastructure provisioning with Terraform ...

Module03 - Hadoop

Work in progress

Module04 - Spark

Work in progress

Acknowledgements

Contributors

• Francois-Xavier Babin ([email protected])
• Jeremy Jauzion ([email protected])
• Myriam Benzarti ([email protected])
• Mehdi Aissa Belaloui ([email protected]
• Eren Ozdek ([email protected])