We use cookies to improve site navigation, analyze site usage, and enhance your user experience. Click "Accept" to enable cookies or "Reject" to reject cookies. To learn more, read our Privacy Policy.
Let’s be real, data teams are drowning in manual work. On average, they’re spending around 70% of their time just trying to keep things in order — documenting datasets, tagging them with the right classifications, and writing tests to maintain qualit...
As modern organizations work to promote data quality, maintain compliance, and enable cross-team collaboration, the evolving nature of data and its governance presents major challenges: Tightened regulations, vast amounts of data, and the lack of sta...
As data and teams scale, managing metadata manually becomes increasingly complex. What starts as simple tasks—assigning ownership, writing descriptions, or associating glossaries—becomes difficult and time consuming as your data platform and organiza...
