---
id: topic-etl
name: ETL
artifact_type: content
description: Topic definition for ETL (Extract, Transform, Load)
version: 1.0.0
tags:
  - data-engineering
  - data-integration
  - topic
---

# ETL (Extract, Transform, Load)

A three-phase computing process where data is extracted from source systems, transformed (including validation, cleaning, enrichment, and aggregation), and loaded into a target data store or data warehouse.

ETL is a fundamental pattern in data integration and analytics pipelines, enabling organizations to consolidate data from heterogeneous sources into a unified format suitable for analysis and reporting.

**Key Characteristics:**
- Sequential batch-oriented processing
- Data quality enforcement during transformation
- Schema mapping and normalization
- Support for diverse source and target systems
- Typically scheduled and automated

**Common Use Cases:**
- Data warehouse population
- Business intelligence reporting
- Data migration projects
- Master data management
- Regulatory compliance reporting