Dimensional databases are used to track historical data, and therefore must have a(n) ________.

Question

BlackTom AI · Accepted Answer

Dimensional modeling emphasizes organizing data into dimensions that describe facts, making historical analysis and time-based comparisons straightforward.
Option 1: 'time dimension' — This is the correct idea: to track historical data effectively, a dimensional database typically includes a time dimension so queries can slice data by day, month, quarter, or year, enabling trend analysis and slowly changing aspects.
Option 2: 'customer dimension' — While a customer dimension is common in many datasets, its presence alone does not address the requirement to track historical changes over time. A customer dimension helps describe who is involved, but not the temporal aspect essential for history tracking.
Option 3: 'sales dimension' — A sales dimension might describe attributes related to sales activities, but it does not inherently provide the historical, time-based structure needed to track changes across periods. It adds contextual data rather than temporal tracking capability.
Option 4: 'order dimension' — An order dimension captures details about orders, but like the sales or customer dimensions, it does not by itself guarantee historical tracking across time. The temporal aspect is provided by a dedicated time dimension, not by these domain-specific dimensions alone.

25SP-MIS542B-BL-14469 Final Exam

Dimensional databases are used to track historical data, and therefore must have a(n) ________.

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