73 stackexchange-grounded, 516 model-knowledge (ESCO-seeded gemma3), 0 review_needed (calibration caveat documented). Adapters rebuilt with the full competence sets; final REPORT numbers; all verify checks pass. Known gap: engineering-manager lacks an ESCO package counterpart. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PDKeXvpT6tENSvyQGLV1Uq
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esco_uri, esco_label, relation, onet_soc, source, confidence, qa_count, generator, generated
| esco_uri | esco_label | relation | onet_soc | source | confidence | qa_count | generator | generated |
|---|---|---|---|---|---|---|---|---|
| http://data.europa.eu/esco/skill/143769cb-b61e-47d8-a61e-eedfbec1016c | business intelligence | optional | 15-1242.00 | model-knowledge | high | 0 | gemma3:27b (prompt-designed and spot-checked by Claude) | 2026-07-10 |
business intelligence — Database Administrator
For a Database Administrator, 'Business Intelligence' isn’t about creating the dashboards – it’s about enabling others to do so efficiently and reliably. It means understanding how data flows from transactional systems (the databases you manage!) into BI tools like Power BI, Tableau, or Looker. Daily tasks involve optimizing queries used for reporting, ensuring data quality within source systems impacts BI accuracy, and proactively identifying performance bottlenecks in ETL processes that feed the BI layer. You're less a 'data scientist' and more a ‘data pipeline architect’ – making sure the fuel gets to the engine smoothly.
Weitere Anreicherung
Stage-2 source for future practitioner grounding: arXiv cs.SE (software-engineering preprints).