---
title: ETL
date: 2025-02-11
description: Learn about the ins and outs of ETL as well as affordable tools for ETL in Altova MapForce. 
---

Status: #category

Categories: [data-integration](/blog/category/data-integration.md) 
# ETL
ETL, which stands for extract, transform, load, is a data integration process that involves *extracting* data from various source systems, *transforming* it into a suitable format or structure for storage and analysis, and then *loading* it into a target database or data warehouse. The transformation step might include filtering, aggregating, de-duping, and/or enriching the data to match the target data structure. 

Today, efficient ETL processes are essential for consolidating data from different sources. Many organizations use different systems that don't naturally communicate with each other (like legacy EDI systems, cloud services, and modern applications). ETL bridges these gaps by moving and standardizing data between them, making it ready for reporting, analysis, and decision-making.  

![ETL diagram](/blog/images/extract-transform-load.jpg)

Altova MapForce is a powerful - yet affordable - ETL tool that supports all major data formats and databases. A selection of ETL articles on the Altova blog includes:


- [Introduction to ETL](/blog/2025/02/what-is-etl.md) 
- [ETL Basics (Video)](/blog/2025/01/etl-basics-csv-to-database-in-mapforce.md)
- [Create ETL Projects Fast with Altova AI](/blog/2026/06/ai-built-data-mappings-in-mapforce-meet-altova-ai.md)
- [How to Create Batch Data Mapping for ETL](/blog/2025/05/how-to-create-batch-data-mapping-projects.md)
- [Extract PDF Data for ETL](/blog/2023/11/extract-data-for-pdf-mapping.md)
- [ETL for Shopify Data](/blog/2025/03/exporting-products-from-shopify-as-csv.md)
- [How to Convert Data for ETL (Video Series)](/blog/2023/06/how-to-convert-data-in-mapforce-video.md)
- [Using Decision Tables to Implement Conditional Logic](/blog/2025/11/using-decision-tables-to-simplify-data-mapping-logic.md)