The integration of Great Expectations with Apache Airflow via a new Provider package represents a significant advancement in data validation practices within the Airflow ecosystem. The Great Expectations Provider, available on the Astronomer Registry, allows users to seamlessly incorporate data quality checks into their Airflow Directed Acyclic Graphs (DAGs). This integration is part of a broader shift in the Airflow 2.0 framework, which separates Hooks, Operators, and Sensors into independently managed Provider packages, enhancing flexibility and ease of use. By utilizing the GreatExpectationsOperator, users can enforce data quality checks as intermediary tasks, preventing downstream processing issues and potential production failures. This development reflects a collaborative effort between Astronomer, the creators of Great Expectations, and various industry stakeholders, highlighting the growing importance of data validation in large-scale data processing and analytics environments.