https://github.com/palewire/first-athena-query
How to analyze millions of records in seconds with Amazon Web Services and SQL
https://github.com/palewire/first-athena-query
athena data-journalism journalism news python sql tutorial
Last synced: 4 months ago
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How to analyze millions of records in seconds with Amazon Web Services and SQL
- Host: GitHub
- URL: https://github.com/palewire/first-athena-query
- Owner: palewire
- License: mit
- Created: 2025-02-04T18:52:04.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-06-01T10:14:37.000Z (4 months ago)
- Last Synced: 2025-06-05T18:51:52.873Z (4 months ago)
- Topics: athena, data-journalism, journalism, news, python, sql, tutorial
- Language: Python
- Homepage: https://palewi.re/docs/first-athena-query/
- Size: 24.5 MB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
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README
How to analyze millions of records in seconds with Amazon Web Services and SQL
## Contributing
Start by making a fork of the repository. Then clone the forked repository to your local machine.
You can install the required dependencies with [uv](https://docs.astral.sh/uv/) by running the following command:
```bash
uv sync --all-extras
```
Start the documentation site's test server with the following command, which will enable live reloading in your browser:
```bash
cd docs && uv run make livehtml
```
You can now make changes to the documentation site in the `docs` folder and see the changes in real-time. You should commit your changes to a new branch and open a pull request to the main repository.