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Panel: Managing data in a distributed world

Panelat Big Data & AI Toronto 2021 · 2021-10-13..10-14· [data-engineering]
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Collibra is implemented as a universal catalog after a multi‑year proof of work that starts with a small proof of concept and grows teams from two to about a dozen; priorities are use‑case patterns — data operations, analytics/AI and risk/accountability — plus exposing catalogs to customers. Practical moves: model processes first, add metadata connections for operational workflows, assign magnets for adoption (product/marketing style), and extend catalog content into AI/ML governance and downstream access controls.

AI-written summary · about

  1. 0:00Introduction and panel welcome
  2. 3:16Starting data programs at scale
  3. 9:29Building metadata platforms
  4. 14:03Future use cases and AI governance
  5. 22:15Expanding connected data initiatives
  6. 26:24Building teams for governance
  7. 36:45Data analytics integration
  8. 41:19Advice for starting programs
  9. 45:10Closing remarks and thanks
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