---
esco_uri: http://data.europa.eu/esco/skill/c7cc6dc5-d56b-4323-8e5c-47c4022f615f
esco_label: "quality assurance methodologies"
relation: optional
onet_soc: 15-1242.00
source: model-knowledge
confidence: high
qa_count: 0
generator: gemma3:27b (prompt-designed and spot-checked by Claude)
generated: 2026-07-10
---

# quality assurance methodologies — Database Administrator

For a Database Administrator (DBA), 'Quality Assurance Methodologies' isn’t about *creating* quality, it’s about *verifying* it exists in the data and database systems they manage. Daily this translates to proactive monitoring of database health – not just uptime, but also data integrity checks like running checksums, validating foreign key constraints, and auditing changes to critical tables. It means establishing baseline performance metrics (response times, resource usage) and regularly comparing current performance against those baselines using tools like SQL Profiler, Performance Monitor (Windows), or `pg_stat_statements` (PostgreSQL).  It's also about scripting automated tests for common database operations – backups/restores, replication health, ETL process validation – to catch issues *before* users report them.

## Weitere Anreicherung

Stage-2 source for future practitioner grounding: arXiv cs.SE (software-engineering preprints).
