Iterative Data Quality in Airflow DAGs
WATCH ON DEMAND
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.
- 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
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Enterprise Platform Architect
Benjamin (Benji) Lampel is currently an Enterprise Platform Architect at Astronomer, focusing on how to leverage data quality use-cases with Airflow. He graduated from UC Santa Barbara with a BS and MS in Computer Science, and has worked as a data engineer and principal engineer. In his spare time, he enjoys biking, reading, and going to concerts. Benji currently resides in Brooklyn, NY.