# Data Warehouse
**Source:** https://glossary.keenfunnel.com/terms/data-warehouse
**Language:** German

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## Technische Erklärung

Warehouses organise curated data through schemas and models optimised for analytical queries rather than transactional processing. Data is loaded through ETL or ELT, governed through metadata and access controls, and served to business intelligence, analytics, and machine-learning workloads.

## Geschäftliche Relevanz

A warehouse provides consistent historical analysis across business functions and reduces dependence on fragmented operational reports.

## Implementierungsbeispiel

A company combines CRM, billing, advertising, and support data into governed customer and revenue models used by finance, marketing, and RevOps dashboards.

## Einschränkungen und häufige Missverständnisse

A warehouse does not automatically create trusted metrics. Poor modelling, delayed pipelines, duplicated definitions, uncontrolled access, and platform costs can undermine value.

## Themen

Data Engineering Systemarchitektur

## Quellen

Google Cloud — What is a data warehouse? — IBM — Data Warehouse — https://www.ibm.com/think/topics/data-warehouse

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