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Iterative Data Quality in Airflow DAGs

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Summary

Data quality is an often overlooked component of data pipelines. Learn why it is a valuable part of data systems and how to get started integrating data quality checks into existing pipelines with a variety of tools.

Key Takeaways

  • Learn how to make a case for data quality in your org
  • Familiarize yourself with modern data quality tooling
  • Understand trade-offs of scheduling data quality tasks

Hosted By

  • Viraj Parekh Viraj Parekh Field CTO
    Astronomer
  • Benji Lampel Benji Lampel Ecosystem Engineer
    Astronomer