The text discusses the importance of data quality checks in ensuring that data is delivered high-quality and meets the organization's standards. It introduces Dagster Asset Checks, a new feature in Dagster 1.5, which allows users to define data quality checks for their assets. These checks can be executed inline with the pipeline or on their own, providing flexibility and control over when and how they are run. The feature aims to provide a unified view of pipeline health, enabling users to understand what data is expected to exist, how it's partitioned, and its freshness. Additionally, Asset Checks facilitate anomaly detection by comparing current values to historical trends, allowing for more accurate alerting and investigation. The text highlights the benefits of integrating data quality checks with orchestration, providing a single system that can execute and track updates to data, understand what data should look like, and verify its quality.