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Topic 07 of 10

Data & governance

Finding where the data really lives, modelling the operation once, masking personal data, and the governance a regulated client will ask about.

  • 11 lessons
  • 6 h reading
  • 12.3 h hands-on
  • 3 on the FDE path
Start lesson 01
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Lessons

  1. 01Finding where the data really livesPath · stage 1 LabMap the source systems, their owners, and the spreadsheet nobody mentions.Free
  2. 02Is the data ready?SpecialisationWarehouses, lakehouses and joins: clean data matters more than a better model. Pro
  3. 03Agents over tables: text-to-SQL and beyondPath · stage 3Answer questions from structured data, safely and verifiably. Pro
  4. 04Streaming data for real-time agentsEvents, queues and change capture for agents that react as things happen. Pro
  5. 05Finding and masking personal dataSpecialisationDiscover, mask and tokenise PII before it stalls the project. Pro
  6. 06Lineage: proving where an answer came fromSpecialisation LabData quality, lineage and a catalogue that traces any answer to its source. Pro
  7. 07Data residency and sovereigntySpecialisationWhere tokens are processed is in the contract; design the deployment to match. Pro
  8. 08Governance built in, not bolted onSpecialisationFrameworks and controls in the vocabulary the risk committee uses. Pro
  9. 09Registries for models, prompts and agentsA named owner and a record for everything you deploy. Pro
  10. 10The audit packSpecialisationLogs, evidence and explanations you can hand over six months after go-live. Pro
  11. 11The operational model: objects, links and actionsPath · stage 1 Lab ProModel the customer's operation once, so every agent reads and acts through it.Free