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The statement that data warehouses only capture data from one time period is false. Data warehouses store multiple time periods of data to facilitate historical analysis and trend identification. They include various time-series data for diverse organizational needs. So the correct option is b) False.The statement "Data warehouses capture data only from one time period" is false. Data warehouses are designed to hold data from multiple time periods to support the processing of historical data, and enable trend analysis over time. This is supported by the concept of time-series data, which consists of data points collected or recorded at different times. For example, a company might analyze sales data captured quarterly over several years to track growth and seasonality.Moreover, the type of data captured in a data warehouse can vary greatly depending on the needs of the organization. It might include daily sales figures, quarterly financial reports, or annual customer surveys. The frequency of data updates—whether it’s weekly, monthly, or yearly—also depends on the requirements of the analysis being conducted and the goals of the organization. Therefore, stating that all data must come from a single point in time would restrict the utility and purpose of a data warehouse significantly. So the correct option is b) False....