The characteristics of a data warehouse are subject oriented,time variant,not integrated and nonvolatile
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True
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False
The four defining characteristics of a data warehouse are: subject oriented (organized by business subjects), time variant (historical data with timestamps), integrated (consistent format across sources), and nonvolatile (once loaded, data is not updated). The statement incorrectly claims not integrated, when integration is a core feature.
To answer this question, let's go through each characteristic of a data warehouse:
Subject oriented: A data warehouse is subject oriented, which means it focuses on specific subjects or areas of interest, such as sales, customers, or products. This allows for efficient analysis and reporting on those subjects.
Time variant: A data warehouse is time variant, meaning it stores historical data and allows for analysis over time. It tracks changes in data and provides a historical perspective for analysis.
Integrated: A data warehouse is integrated, as it combines data from multiple sources into a single, unified view. It integrates data from different systems and formats, ensuring consistency and accuracy.
Nonvolatile: A data warehouse is nonvolatile, meaning it is read-only and does not change or update the data once it is loaded. It preserves the original data and is designed for analysis and reporting purposes.
From the characteristics mentioned above, we can see that the statement "not integrated and nonvolatile" is incorrect. Therefore, the correct answer is B) False.