dqops/dqo

Data Quality and Observability platform for the whole data lifecycle, from profiling new data sources to full automation with Data Observability. Configure data quality checks from the UI or in YAML files, let DQOps run the data quality checks daily to detect data quality issues.

Java

189

Other

DQOps is a Data Quality and Observability platform that provides data quality monitoring with over 150 built-in checks, customizable dashboards, and support for multiple data sources including BigQuery, Snowflake, and PostgreSQL. It's designed for data quality teams and data engineering professionals who need to monitor data quality across their data lifecycle, offering features like data quality KPIs, incident management, and automated data quality checks through a user-friendly interface or YAML configuration.

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