https://github.com/richardbnk/gcp_data_quality
A class designed to facilitate the creation and management of data quality monitoring processes, ensuring efficient and reliable data validation and maintenance.
https://github.com/richardbnk/gcp_data_quality
data-quality data-quality-checks data-quality-monitoring google-cloud-platform monitoring monitoring-automation process-automation
Last synced: 7 months ago
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A class designed to facilitate the creation and management of data quality monitoring processes, ensuring efficient and reliable data validation and maintenance.
- Host: GitHub
- URL: https://github.com/richardbnk/gcp_data_quality
- Owner: Richardbnk
- Created: 2022-04-20T02:55:09.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-01-16T04:40:47.000Z (9 months ago)
- Last Synced: 2025-02-02T00:39:57.477Z (8 months ago)
- Topics: data-quality, data-quality-checks, data-quality-monitoring, google-cloud-platform, monitoring, monitoring-automation, process-automation
- Language: Python
- Homepage:
- Size: 22.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Data Quality System for Monitoring Automated Processes on Google Cloud Platform (GCP)
## Python Library for Simplified Monitoring of Automated Workflows
### Author
**Name**: Richard Raphael Banak
### Installation
To install the library, use the following command:
```bash
pip install git+https://github.com/Richardbnk/GCP_Data_Quality
```
To update the library, run:
```bash
pip install --upgrade git+https://github.com/Richardbnk/GCP_Data_Quality
```
### Requirements
All necessary dependencies will be installed automatically when running the `pip install` command, as defined in the `requirements.txt` file.