This is a public repository to go over all the LLM-driven data engineering concepts.

Exercise files for Microsoft Data Engineer curriculum

My experiments trying to understand Spark better

Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)

Data Engineering YouTube Analysis Project by DP

This is a code repository for the LinkedIn Learning course Top 5 Things to Know in Advanced SQL.

Data Engineering with AWS Part 1

Curated list of resources about Apache Airflow

AWS Glue

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks

Mock an API request and obtain a pre-saved response object

scikit-learn: machine learning in Python

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

A curated list of data engineering tools for software developers

Udacity Data Engineer Nano Degree - Project-1 (PostgreSQL)

Data Engineering on Google Cloud Platform

Study materials for the Google Cloud Professional Data Engineering Exam

Interactively create machine learning datasets using facets visualization tool and active learning or semi-supervised learning. Visualizations for machine learning datasets

PostgreSQL Sample Database

A delightful community-driven (with 1,000+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc…

For the Coursera specialization https://www.coursera.org/specializations/gcp-data-machine-learning