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Synthetic Data Generators (SDG)

SDG is a collection of common data challenges aimed at practicing and learning Data Engineering.
Each generator simulates data behaviors modeled on real-life scenarios.

This is V0.1 of the open source project. In future I'd like to have an iniciative for people to contribute with new cases and potential solutions.

Goal

The goal of this project is to provide generators that help test and practice common data engineering challenges.

This project is not aimed at data analysis, business intelligence, or data science challenges.

Project structure

Inside each folder you will find a data challenge with a generator and explanation on how to use it.

Roadmap

  • Add more real-world scenarios
  • Build a community-driven challenge repository

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SDG is a collection of common data challenges aimed at practicing and learning Data Engineering. Each generator simulates data behaviors modeled on real-life scenarios.

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