How to Strengthen DataOps with Continuous Data Observability

It takes a lot of discipline to achieve a sublime DataOps practice. DataOps teams have a lot on their plate to collaborate across their organization to drive agility, speed, and new data initiatives at scale. But what happens when you deliver bad-quality data at high speed? Worse, what if you don’t know you’re delivering bad data? That’s where data observability comes in to help. Join this session to learn how adding data observability to your DataOps practices can help you deliver trusted data at scale. In this session, you will learn:

• Common challenges most data engineers face with data quality
• How data pipeline observability strengthens DataOps practices
• Live demo of Databand in action with tools like Apache Airflow, dbt, & Spark