Business Intelligence Exam Practice 2025 – Complete Prep Guide

A relational database primarily utilizes structured tables for data organization. This approach involves defining data in a structured format with rows and columns, where each table represents a specific entity (such as customers, orders, or products), and each row in a table corresponds to a unique record. The columns in these tables contain attributes or fields of the entity, allowing for clear relationships to be established between different data points.

The use of structured tables facilitates easy querying and data manipulation, typically through Structured Query Language (SQL). It allows users to perform operations like selecting, inserting, updating, and deleting data as well as joining tables to find relationships between different datasets. This structured organization is fundamental to the benefits of relational databases, including data integrity, consistency, and the ability to conduct complex queries.

Other storage methods, such as cloud storage or binary files, do not provide the structured and relational advantages that define a relational database's functionality, and document storage typically refers to semi-structured or unstructured data, further distinguishing it from the characteristics of relational databases.