Advertisement

Collibra Demo: Session 5: Delivering Trusted Data – Collibra’s Modern Approach to Data Quality

By on
 

Download slides here>>

You want an agile, proactive business that can respond quickly to changing markets. Doing so requires trusted data.

With predictive data quality and observability, Collibra centralizes and automates data quality workflows to streamline data and analytics processes across the enterprise. And with integrated lineage, ownership model, and catalog, modernizing your data quality with Collibra means improving the future of your data intelligence by providing you the data reliability you need.

Join this session to get a general introduction to Collibra Data Quality & Observability and learn how to:

  • Get started with Data Quality
  • Create data quality rules using AI/Machine Learning
  • Identify quality issues that traditional rule engines would miss

Henry Tram

Lead Sales Engineer – Data Quality, Collibra

Henry Tram has helped organizations from the SMB size all the way up to the large enterprise clients modernize their technology stack and implement scalable solutions to manage their data. He has supported a number of clients through their digital transformations with his experience working for Oracle, Informatica, and now Collibra.

Leave a Reply

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept