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Cover image for 🦆 Effortless Data Quality w/duckdb on GitHub ♾️
adriens for opt-nc

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🦆 Effortless Data Quality w/duckdb on GitHub ♾️

🪝 Teaser (for the impatients)

Do you have a repository that relies on csv files... and want to operate:

  • 🛡️ Protect your data with quality intergrity checks before to corrupt your data
  • 🔬 Check data quality as part of your project lifecycle
  • 📊 Get operational KPIs reporting
  • ♾️ Automate release process to explain your contributors what has been achieved
  • 📦 Deliver data
  • 🤯 Endless usages

🫵 Don't look further, this sort post will cover all these aspects with a practical and highly understandable workflow.

🍿 Demo

Enough talks, let's jump'in:

🦆💻🔁🔧♾️🦆 opt-nc/setup-duckdb-action

GitHub logo opt-nc / setup-duckdb-action

🦆 Blazing Fast and highly customizable Github Action to setup a DuckDb runtime

semantic-release 🛡️ CodeQL 🚀 Release

ℹ️ Setup Duckdb Action

This action installs duckdb with the version provided in input.

📜 Inputs

version

Not Required The version you want to install. If no version defined, the latest version will be installed.

🚀 Example usage

uses: opt-nc/setup-duckdb-action@v1.0.0
with:
  version: v0.8.1
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uses: opt-nc/setup-duckdb-action@v1.0.0
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🔭 Further 🎀

Once CI (Continuous Integration) has been done... you can also think (without a lot of efforts) to Deliver that data to third party services, as part of your DEVOPS pipeline.

A this point I see two easy options:

... which make your data available for new usecases, at no additional effort:

Top comments (6)

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adriens

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adriens

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adriens

A very cool place to watch:

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adriens

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adriens