Orchestrating Data Quality with Airflow

The text discusses the challenges and strategies involved in maintaining high data quality, emphasizing the importance of proactive measures to build trust with data consumers. The Data Team tackled these challenges by embedding scalable and maintainable data quality checks within the developer experience, using Airflow to orchestrate ongoing tests that are integrated directly into data operations. This approach allows for continuous monitoring and improvement of data quality, making testing a seamless part of the development process. It highlights the need for clear ownership of data issues, the use of data contracts to define expectations, and the importance of handling data quality issues with varying levels of severity. By logging metadata and exposing quality issues through dashboards, the team ensures that problems are addressed by the appropriate owners, fostering a culture of shared responsibility. The implementation has made testing easier to maintain and more visible, ultimately enhancing the trustworthiness and value of the data.

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