A recap of a Dagster webinar on building reliable data platforms through integrated data quality checks. Covers the six dimensions of data quality (completeness, timeliness, consistency, accuracy, validity, uniqueness), frameworks like Great Expectations and dbt tests, Dagster asset checks for automated validation, and real-time monitoring of data asset health. Also includes Q&A answers on topics like testing asset checks, multi-asset checks, partitioned assets limitations, and customer-level asset definitions.
