What does time variant imply for a data warehouse?

What does time variant imply for a data warehouse?

• A. It refers to the data warehouse containing slices or snapshots of data from different periods of time across its time horizon
• B. It implies all data is stored in real time
• C. It implies data is stored in a single time period
• D. It implies data is stored in a non-temporal format

Answer: (A)

Time variant means a data warehouse is designed to preserve historical data and provide a time dimension for analysis. It stores data as slices or snapshots from different points in time across its time horizon, so you can examine how metrics change over time. This enables trend analysis, comparisons across periods, and understanding how values evolve, not just the current state. It does not require real-time only storage, it does not limit data to a single time period, and it isn’t non-temporal. The snapshot/slice approach across multiple times is what supports historical insight and temporal analysis.

Time variant means a data warehouse is designed to preserve historical data and provide a time dimension for analysis. It stores data as slices or snapshots from different points in time across its time horizon, so you can examine how metrics change over time. This enables trend analysis, comparisons across periods, and understanding how values evolve, not just the current state. It does not require real-time only storage, it does not limit data to a single time period, and it isn’t non-temporal. The snapshot/slice approach across multiple times is what supports historical insight and temporal analysis.