Business Intelligence Exam Practice 2026 – Complete Prep Guide

ETL stands for Extract, Transform, Load, which is a critical process in Business Intelligence. This process involves the extraction of data from various source systems, transforming it into a format suitable for analysis, and loading it into a data warehouse or other BI repository.

The extraction step gathers raw data from multiple sources, which may include databases, flat files, or online repositories. Once the data is aggregated, the transformation phase applies various processes such as cleansing, normalization, and aggregation, ensuring that the data is accurate and consistent. Finally, the load step involves placing the transformed data into a destination, typically a data warehouse, where it can be accessed for reporting and analysis.

Understanding ETL is essential for any Business Intelligence initiative, as it determines the quality and usability of the data that will drive insights and decision-making. The other choices do not reflect the established terminology used in Business Intelligence practices and processes.