---
esco_uri: http://data.europa.eu/esco/skill/cc7370dd-69fa-4c67-a96f-d4d135d38700
esco_label: "data quality assessment"
relation: essential
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
---

# data quality assessment — Database Administrator

As a Database Administrator, 'data quality assessment' isn’t about abstract metrics; it's *proactively* finding problems that break applications or lead to bad business decisions. Daily, this means running SQL queries – often custom-built – to check for things like missing values in critical fields (e.g., customer email addresses), inconsistent data formats (dates as text instead of dates!), and violations of referential integrity (orphaned records). You'll use tools like `DBCC CHECKDB` (SQL Server) or similar validation routines in other DBMS, plus scripting languages (Python/PowerShell) to automate checks across multiple tables. It’s not a one-time task; it’s integrated into change management – verifying data *after* deployments and migrations.

## Weitere Anreicherung

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