---
esco_uri: http://data.europa.eu/esco/skill/d9eaf831-9348-4330-a83e-b7c099cdc8f6
esco_label: "Teradata Database"
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
---

# Teradata Database — Database Administrator

As a Teradata DBA, 'Teradata Database' competence isn’t just *knowing* it exists; it's being able to keep the entire system humming. Daily tasks revolve around performance monitoring using tools like Query Banding and Explain plans to identify slow-running queries or resource bottlenecks. You'll spend significant time managing space – tablespaces, AMPs (Access Module Processors), and data distribution skew – ensuring optimal storage utilization and preventing outages. Expect frequent work with Teradata Studio for query execution/analysis, BTEQ scripting for automation, and potentially tools like Viewpoint for monitoring dashboards.

A core part of the role is proactive maintenance: applying PTFs (Program Temporary Fixes) to address bugs or security vulnerabilities, managing user permissions via roles and grants, and performing regular backups/restores using Teradata’s utilities. Troubleshooting often involves digging into error logs, analyzing system statistics (using tools like DBAONTAP), and understanding how Teradata's parallel processing architecture impacts query execution.  Pitfalls include improper data distribution leading to performance issues, failing to monitor space effectively causing table overflows, or incorrectly applying PTFs which can destabilize the environment.

Good looks like consistently high system availability, predictable performance even under peak loads, and a well-documented environment. It means being able to quickly diagnose and resolve issues *before* they impact users, automating routine tasks with scripting, and proactively identifying potential problems through monitoring and capacity planning.  A strong Teradata DBA understands the nuances of Teradata’s architecture – how data is partitioned, how queries are optimized, and how different features interact.

Finally, this competence extends to understanding Teradata-specific extensions to SQL (like volatile tables or join indexes) and being able to advise developers on writing efficient Teradata SQL. It's not enough to just make things *work*; you need to make them work *well* within the Teradata ecosystem.

## Weitere Anreicherung

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