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.
Save the date how Databand.ai can help you create stable, reliable pipelines that your business can depend on!
In this session we’ll cover:
- The core differences data reliability vs data quality
- What role data platform, analysts, and scientists play in guaranteeing data quality
- Hands on demo setting up Airflow reliability tracking
This session is based on:
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