Advanced Data Quality Use Cases with Airflow and Great Expectations

For this webinar, Benji Lampel (Enterprise Platform Architect @ Astronomer) and Tal Gluck (Software Engineer @ Superconductive) present several Airflow DAGs using Great Expectations that cover advanced DAG patterns and data quality checking cases.
Key Takeaways
- Data Quality comes from the needs of the organization. Learn why data engineers need to be guardians of data and liaisons for quality
- Data Quality checking in the real world is messy. We will showcase methods to cope with that messiness
- There’s a strong, documented story of using Airflow and Great Expectations together. This makes it a premier way to add data quality checks into your organization’s data ecosystem.

[@nikolasklass5570]

It would be great if you can share your code.

[@Astronomer]

Got you! Check out this link: docs.astronomer.io/learn/airflow-great-expectations

[@thomasm.250]

Sadly, the quality is very poor. :(

[@thomasm.250]

Finally, the quality 1440p is arrived !