Data Quality and Observability Amidst Data Mesh

Logo
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.
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (111)
Subscribers (3393)
Collibra unites your entire organization with trusted data that's easy to find, understand and access so you can do more with your data. And with new artificial intelligence (AI) use cases taking shape every day, AI governance is more critical than ever — learn how you can start your AI governance journey with Collibra. Visit collibra.com to learn more.