# qlik-data-modeling

> Claude/Codex skill by [@pupfish-llc](https://omgskills.com/library/pupfish-llc/index.md) · 1 stars · Updated 2026-05-18

Star schema patterns, key resolution strategies, synthetic key prevention, QVD layer design, multi-app architecture patterns, source architecture consumption strategies, and associative engine behavior for Qlik Sense data modeling. Load when designing or reviewing data models.

## Install

```sh
git clone https://github.com/Pupfish-LLC/qlik-agents /tmp/qlik-agents && ln -s /tmp/qlik-agents/skills/qlik-data-modeling ~/.claude/skills/qlik-data-modeling
```

## From README

Qlik Data Modeling Overview Qlik Sense's associative engine links tables through identically-named fields. Unlike relational databases with explicit JOIN syntax, Qlik creates associations automatically—any two tables sharing a field name are linked for selection propagation. This means data modeling and field naming are inseparable. A field name is not just a label; it is a structural decision that determines which tables associate, how users filter data, and whether the model produces correct results. The fundamental constraint: every pair of tables should share exactly one field name. More than one shared field creates synthetic keys, which degrade performance and produce unexpected query results. Zero shared fields means the tables are data islands, unable to participate in selections.

## Links

- HTML page: https://omgskills.com/library/pupfish-llc/qlik-agents/skills/qlik-data-modeling/
- GitHub: https://github.com/Pupfish-LLC/qlik-agents
- Author: [@pupfish-llc](https://omgskills.com/library/pupfish-llc/index.md)

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