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Webinar Replays
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. 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.
Watch this fireside chat between Eric Gerstner, Data Quality Principal at Collibra and Ankur Gupta, Director of Product Marketing at Collibra to learn about how early detection, early resolution, and early prevention of data issues, can help both data producers and consumers benefit from a trusted data mesh.
Discussed:
- Pillars of data mesh and data observability
- How you can accelerate your data mesh journey with healthier data
- Checklist for a predictive, self-service data quality & observability solution
To access the recording, [click here].
