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A minimal modern data stack with working data pipelines in a single Docker container.

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mimosa

A minimal modern data stack with working data pipelines in a single Docker container.
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Table of Contents
  1. About the Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. Contact

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About the Project



THIS IS A CONCEPT AND WORK IN PROGRESS

A minimal modern data stack with working data pipelines in a single Docker container. This is similar in concept to mimodast using alternative software options.

Useful for an exploration of the tools involved:

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Getting Started

Prerequisites

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Installation

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Usage

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Roadmap

Consider:
  • Get source data (Using REST API)
  • Transform data, possibly SQL Mesh or dbt.
  • dlt update/error messages using Slack
  • [-] Storage (currently local DuckDB, maybe consider some cloud alternative. Though that would stray from the data stack in a Docker concept.)
  • Scheduling Tool
  • Reporting tool (Metabase?)

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Contributing

Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also open a feature request or bug report. Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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Contact

Project Link: mimosa

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