Time Variant

Data warehouses, unlike operational databases, are designed with a unique ability to maintain a comprehensive historical record of data. This feature not only allows for trend analysis and historical reporting but also ensures the reliability of the system for comparison over time.

For example, if a customer changes their address, a data warehouse will keep old and new addresses, along with timestamps indicating when the change occurred.

Data warehouses often include a time dimension, allowing users to analyze data across different periods. This could include daily, monthly, quarterly, or yearly trends, providing insights into how data changes over time.