DAC is an open-source dashboard-as-code tool built by Bruin Data that allows users to define, validate, and serve interactive dashboards entirely from declarative YAML and dynamic TSX components. The platform features a built-in semantic layer for defining reusable metrics and dimensions, supports all major SQL databases, and is explicitly designed to be utilized by AI agents to construct standardized, reviewable data visualizations.
This article explains how to quickly detect data quality issues and identify their causes using Python for ETL pipelines. It discusses strategies to minimize the time required to fix data quality problems.
