DQOps
DQOps is an open-source data quality platform tailored for data professionals, enabling them to assess, automate, and monitor data quality throughout their pipelines. With over 150 built-in checks and customizable SQL queries, it effectively identifies anomalies, tracks KPIs, and enhances data governance, ensuring high-quality data delivery.
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Top DQOps Features
- Open-source data quality platform
- Automated data quality checks
- Rule mining engine integration
- YAML configuration support
- Advanced machine learning algorithms
- Customizable SQL query templates
- Incremental data quality monitoring
- Data observability features
- Custom data quality dashboards
- AI-driven anomaly detection
- KPI measurement for data quality
- Built-in data quality metrics
- Issue grouping for incidents
- Git-based data quality definitions
- Real-time schema change monitoring
- Multi-role collaboration features
- Data quality incident management
- Extensive documentation and support
- Over 150 built-in checks
- Seamless integration with data pipelines.
