# Extract Transform Load Etl
**Source:** https://glossary.keenfunnel.com/terms/extract-transform-load-etl
**Language:** German

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## Technische Erklärung

Extraction collects source data; transformation validates, cleans, joins, standardises, and applies business rules; loading writes the prepared result to a warehouse or other destination. ETL often uses a separate processing layer before the target receives data.

## Geschäftliche Relevanz

ETL supports controlled, repeatable preparation of data for reporting, migration, compliance, and operational use, especially when the target should receive only curated data.

## Implementierungsbeispiel

A nightly process extracts CRM and billing records, standardises account identifiers, validates currencies, calculates revenue fields, and loads approved tables into a warehouse.

## Einschränkungen und häufige Missverständnisse

Pre-load transformation can increase latency and infrastructure complexity. Rigid pipelines may be difficult to adapt when source schemas or analytical needs change, and transformation errors can silently propagate without testing.

## Themen

Data Engineering Systemarchitektur

## Quellen

IBM — ETL — Apache Airflow — https://airflow.apache.org/docs/

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