ETL (Extract, Transform, Load)
A data pipeline process that extracts, transforms, and loads data between systems
Definition
ETL (Extract, Transform, Load) is a data integration process that extracts data from source systems, transforms it into a usable format, and loads it into a target system or data warehouse.
Detailed explanation
ETL is the backbone of data integration in modern businesses. The three stages are:
- **Extract**: Pull data from databases, APIs, files, or SaaS tools
- **Transform**: Clean, normalise, and structure the data
- **Load**: Insert the processed data into the target system
Modern ETL tools like n8n make this process visual and accessible to non-developers.
Real-world examples
CRM to data warehouse
Daily extraction and transformation of sales data for analytics
Multi-source reporting
Consolidating data from multiple tools into a single dashboard
Why it matters
- Unified view of business data
- Reliable and clean data
- Automated data pipelines
- Better decision-making
Related terms
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