This is a repo with links to everything you'd ever want to learn about data engineering

Bootstrap Kubernetes the hard way. No scripts.

12 Weeks, 24 Lessons, AI for All!

Code and walkthrough labs to set up serverless applications for Wild Rydes workshops

Using Git and GitHub with R, Rstudio, and R Markdown

Arc is an opinionated framework for defining data pipelines which are predictable, repeatable and manageable.

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared …

A list of useful resources to learn Data Engineering from scratch

A curated list of data engineering tools for software developers

Roadmap to becoming a data engineer in 2021

The Data Engineering Cookbook

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼

Self-serve BI to 10x your data team ⚡️

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

A lightning fast JavaScript grid/spreadsheet

Courseware setup and information for instructors

Documentation behind the model used to analyse companies in Simply Wall St

🎸 A statistical analysis of every artist on Triple J Unearthed

🏫 nodeschool internet web page

freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.