https://github.com/moritzkoerber/data-engineering-practice

My solutions to Daniel Beach's Data Engineering Practice Problems
https://github.com/moritzkoerber/data-engineering-practice

apache-spark aws data-engineering docker dockercompose duckdb pandas pipenv polars soda-sql

Last synced: 4 months ago
JSON representation

My solutions to Daniel Beach's Data Engineering Practice Problems

• Host: GitHub
• URL: https://github.com/moritzkoerber/data-engineering-practice
• Owner: moritzkoerber
• License: mit
• Fork: true (danielbeach/data-engineering-practice)
• Created: 2022-03-06T00:06:25.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2024-11-01T10:21:41.000Z (about 1 year ago)
• Last Synced: 2025-01-21T12:35:54.548Z (about 1 year ago)
• Topics: apache-spark, aws, data-engineering, docker, dockercompose, duckdb, pandas, pipenv, polars, soda-sql
• Language: Python
• Homepage:
• Size: 45.3 MB
• Stars: 9
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
This repository contains my solutions to the awesome data engineering exercises by Daniel Beach ().

To run the solutions, in each respective folder either

- use Docker Compose, or

- install the pipenv virtual environment and run the main.py module.