As the data quality fundamentals shift with data volume, sources, storage, and the desired state, data engineers find it challenging to deliver reliable and high-quality data to the data consumers. Data observability helps them augment their efforts to build trust in data. 

Please join us on Monday, February 13th, for a fireside chat between Eric Gerstner, Data Quality Principal at Collibra and Ankur Gupta, Director of Product Marketing at Collibra to learn about three interesting case studies describing how data engineers can catch bad data before it can hurt data scientists and analysts.

We’ll discuss:

• How data observability empowers data engineers to address the challenges of manual and reactive data quality

• How Fortune 500 companies are leveraging Collibra Data Quality & Observability to drive data health

• Six reasons why you should buy not build a data observability solution

Register now to secure your spot! If you’re unable to attend the webinar live, register anyway and we’ll send you the recording.