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
1.2 KiB
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/e819cc1e-09d9-47f2-b418-93972852daef | MarkLogic | optional | 15-1242.00 | model-knowledge | high | 0 | gemma3:27b (prompt-designed and spot-checked by Claude) | 2026-07-10 |
MarkLogic — Database Administrator
For a Database Administrator, 'MarkLogic' competence isn’t about replacing relational database skills, but augmenting them. It means you can manage a NoSQL data store alongside (or even integrated with) traditional systems. Daily tasks revolve around schema-less document modeling – understanding how to structure XML or JSON documents for optimal querying and indexing. You'll be configuring security (MarkLogic’s role-based access control is powerful), monitoring performance using the Admin Console & diagnostic tools, and troubleshooting query slowness which often stems from inefficient range indexes or poorly designed transformations (XQuery/XPath). Expect a lot of work with data integration – pulling in unstructured data sources like logs, PDFs, or web content.
Weitere Anreicherung
Stage-2 source for future practitioner grounding: arXiv cs.SE (software-engineering preprints).