Glossary

What is ETL?

ETL refers to a three-step data integration: Extract, Transform and Load. ETL is used when source and target systems represent the same data in different ways and often when combining multiple data sources together into a common standard and format. A good ETL process extracts data, ensures that data conforms to quality and consistency standards, transforms data into the target format and finally delivers data to the target system or repository. ETL is used both in data integration and data migration scenarios.

26th August 2026

Unlock the full value of your data with 3 practical data integration tips that help connect disparate sources, improve decision-making, enable seamless customer experiences and build a foundation for AI-driven insights.

DATA EXPERTS FOR THE AI ERA

Our services

Every organization is at a different stage in its data journey, so we start where our clients are. Whether you're defining a strategy, improving data foundations or looking to scale AI across your business, Amplifi can help.

Talk to a data expert View all services

Data & AI Strategy

We define data strategies that make AI, and all positive change, possible, aligning architecture, governance and operating models to turn ambition into safe, scalable outcomes.

Trusted Data Foundations

We build governed, high-quality data foundations so AI models and business decisions are based on data the business can trust.

Enterprise AI & Analytics

We design and deliver modern data and AI platforms that transform trusted data into real-time insight, prediction and action using appropriate mixes of ML, GenAI and multi-modal AI.