What OLAP operation is used to see sales data for a specific location and time in a three-dimensional database?

What OLAP operation is used to see sales data for a specific location and time in a three-dimensional database?

• A. Drill down
• B. Dice
• C. Slice
• D. Pivot

Answer: (B)

The operation that enables you to extract sales data for a specific location and time from a three-dimensional database is correctly identified as "Slice." This OLAP operation focuses on selecting a single dimension from a multi-dimensional data set, allowing you to view the data at a more granular level. When you slice data, you're effectively taking a cross-section of the entire dataset based on certain criteria. For example, if you have dimensions such as location, time, and product type, a slice would let you isolate sales data for a particular location (like a specific city) and a specific time period (like sales for Q1 of 2023). This focuses the analysis on just that "slice" of the data, making it easier to derive insights relevant to that subset. In contrast, the "Dice" operation involves selecting two or more values from multiple dimensions and creating a new sub-cube from that selection. While it can provide detailed insights, it encompasses a broader range of data than a specific slice. Drill down refers to the process of going deeper into the data hierarchy, moving from summary information to more detailed data. Pivot allows users to rearrange dimensions to view the data from different perspectives, which is valuable but does not focus specifically on isolating particular

The operation that enables you to extract sales data for a specific location and time from a three-dimensional database is correctly identified as "Slice." This OLAP operation focuses on selecting a single dimension from a multi-dimensional data set, allowing you to view the data at a more granular level.

When you slice data, you're effectively taking a cross-section of the entire dataset based on certain criteria. For example, if you have dimensions such as location, time, and product type, a slice would let you isolate sales data for a particular location (like a specific city) and a specific time period (like sales for Q1 of 2023). This focuses the analysis on just that "slice" of the data, making it easier to derive insights relevant to that subset.

In contrast, the "Dice" operation involves selecting two or more values from multiple dimensions and creating a new sub-cube from that selection. While it can provide detailed insights, it encompasses a broader range of data than a specific slice.

Drill down refers to the process of going deeper into the data hierarchy, moving from summary information to more detailed data. Pivot allows users to rearrange dimensions to view the data from different perspectives, which is valuable but does not focus specifically on isolating particular