How to Achieve Reliable Data in your Airflow Pipelines with Databand

Have data quality issues?

What about reliability problems? You may be hearing a lot of these terms, along with many others, that describe issues you face with your data. What’s the difference, which are you suffering from, and how do you tackle both?

Knowing that your Airflow DAGs are green is not enough. It’s time to focus on data reliability and quality measurements to build trust in your data platform.

Join this session to learn how Databand’s proactive data observability platform makes it easy to achieve trusted data in your pipelines.

In this session we’ll cover:

  • The core differences between data reliability vs data quality
  • What role the data platform team, analysts, and scientists play in guaranteeing data quality
  • Hands-on demo setting up Airflow reliability tracking