The AI Tutor will answer grounded in this lesson's cited source (jira_story: GOV-212) and key concepts — authority Informational. Not yet enabled.
Lesson 3 of 4 — Migrate Intelligence off per-tenant JSON
Data Platform Hardening · Source: Jira Story GOV-212 (13 pts) · Authority: Informational (the Jira story is authoritative).
Purpose
Move Intelligence data from per-tenant JSON to relational storage.
Why it matters
Relational storage removes a fragile seam and enables joins, queries, and audit.
Where this lives
Runs in the Customer AI Governance platform (components: intelligence). Discovery/classification persist to relational tables; the JSON seam is retired. Learn teaches this read-only.
Workflow
- Given discovery and classification data
- When it is persisted
- Then it is stored relationally and the JSON seam is removed
Worked example
Intelligence stores each tenant's classifications in a JSON blob. Why migrate to relational?
To remove the fragile seam and enable joins, queries, and audit — the JSON seam is retired.
Acceptance criteria (authoritative — GOV-212)
Given discovery and classification data, when it is persisted, then it is stored relationally and the JSON seam is removed.
Common pitfalls
- Leaving the per-tenant JSON seam in place, blocking real querying.
Knowledge check
- Scenario: Intelligence stores each tenant's classifications in a JSON blob. Why migrate to relational?
- Look for: To remove the fragile seam and enable joins, queries, and audit — the JSON seam is retired.
Key concepts
- relational persistence
- JSON seam removal
- Intelligence data
For the AI Tutor
- Summary: Move Intelligence data from per-tenant JSON to relational storage.
- When to use: teaching or answering questions about "migrate intelligence off per-tenant json".
- When NOT to use: the classification step itself (that is GOV-115).
- Key concepts: relational persistence, JSON seam removal, Intelligence data.
Completion criteria
Learner passes the scenario knowledge check and can point to the system state that satisfies GOV-212's acceptance criterion.
Related
- Module: LEARN-MOD-007 (Data Platform Hardening)
- Provenance: LEARN-MAP-001 · Generation standard: LEARN-STD-002
- Next: LEARN-LSN-038