Definition

ETL (Extract, Transform, Load)

A three-step process for pulling data from sources, reshaping it, and loading it into a destination system.

Explained

What is ETL (Extract, Transform, Load)?

ETL stands for Extract, Transform, Load. Extract means pulling raw data from your business tools. Transform means cleaning, filtering, and restructuring that data so it makes sense together. Load means putting the cleaned data into a warehouse or reporting system. Tools like Fivetran handle the extract and load steps automatically, while the transform step is where business logic gets applied.

Why It Matters

Why this matters for SMBs.

Raw data from your tools is messy and inconsistent. ETL is how you turn scattered, unreliable information into clean data your team can actually trust for reporting and decision-making.

Related Terms

Keep learning.

Data Warehouse

A central system that stores structured business data from multiple sources for analysis and reporting.

Data Pipeline

An automated process that moves data from one system to another, transforming it along the way.

Bronze/Silver/Gold Data Architecture

A three-layer approach to organizing data from raw ingestion through to business-ready reporting.

Related Service

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ETL (Extract, Transform, Load) is directly related to our see your business clearly service. Let's talk about what this looks like for your business.

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