https://github.com/kedro-partitioned/kedro-partitioned

Kedro plugin that extends support for partitioned data processing
https://github.com/kedro-partitioned/kedro-partitioned

Last synced: 3 months ago
JSON representation

Kedro plugin that extends support for partitioned data processing

• Host: GitHub
• URL: https://github.com/kedro-partitioned/kedro-partitioned
• Owner: kedro-partitioned
• License: apache-2.0
• Created: 2024-06-12T22:32:03.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-07-31T11:34:48.000Z (6 months ago)
• Last Synced: 2024-08-09T11:43:55.400Z (6 months ago)
• Language: Python
• Size: 168 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-kedro - kedro-partitioned - Extends the functionality on processing partitioned data. ([Kedro plugins](https://docs.kedro.org/en/stable/extend_kedro/plugins.html))

README

        
# Kedro Partitioned

[![Build](https://github.com/nickolasrm/kedro-partitioned/actions/workflows/build.yml/badge.svg)](https://github.com/nickolasrm/kedro-partitioned/actions/workflows/build.yml)

[![codecov](https://codecov.io/gh/kedro-partitioned/kedro-partitioned/graph/badge.svg?token=DL86bQnQyQ)](https://codecov.io/gh/kedro-partitioned/kedro-partitioned)

[![Documentation Status](https://readthedocs.org/projects/kedro-partitioned/badge/?version=stable)](https://kedro-partitioned.readthedocs.io/en/stable/?badge=stable)

![PyPI](https://img.shields.io/pypi/v/kedro-partitioned)

## Introduction

Kedro Plugin for extending partitioned data support.

## Usage:

Read our [docs](https://kedro-partitioned.readthedocs.io/).

Or just go straight to the installation:

```bash

pip install kedro-partitioned

```

## Contribute

If you want to contribute to this package, perform the following steps:

1. Fork the repo

2. Clone it in your machine

3. Follow [maskfile.md](./maskfile.md) description under the main title

4. Make your changes

5. Open a PR for review

## Credits

- Gabriel Daiha Alves [@gabrieldaiha](https://github.com/nickolasrm)

- Nickolas da Rocha Machado [@nickolasrm](https://github.com/gabrieldaiha)