Data Quality and Observability Amidst Data Mesh

Presented by

Ankur Gupta, Director of Product Marketing at Collibra and Eric Gerstner, Senior Sales Engineer

About this talk

A data mesh supports distributed, domain-specific data consumers, with each business domain handling their own data pipelines and data products to fuel self service analytics. It removes the friction for data producers and consumers, hiding complexity, enabling autonomy, and embedding innovation. However, domains cannot truly own their data if they don’t have data observability to have a single pane of glass to continuously view 'known unknowns' as well as 'unknown unknowns’, for example, data quality issues, anomalies, security breaches and privacy violations.

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Since 2008, Collibra has been uniting organizations by delivering trusted data for every use, for every user, and across every source. Our Data Intelligence Cloud brings brings a best-in-class catalog, flexible governance, automated lineage, continuous quality & observability, and built-in privacy to all your data, so you not only know what you have, you understand what it means and can be confident you’re using it in the right way. And no matter where your data is stored or who needs it, your team can easily access and always trust it. That’s why businesses of all sizes all around the world rely on Collibra to create the critical alignment that accelerates workflows and delivers better results faster. For more information, visit