This OLAP operation involves computing all of the data relationships for one or more dimensions.diceslicepivotroll-up

The OLAP operation you are referring to is commonly known as Roll-up.

Explanation:

1. Definition: Roll-up is an OLAP operation that summarizes data by reducing the detail level. It involves aggregating the data by some dimension, often by climbing up a concept hierarchy or by grouping data.

2. Example: For instance, if you have sales data categorized by day, rolling up that data could mean aggregating it by month—thus transforming detailed daily sales figures into monthly totals.

3. Contrasts with Other Operations:

   • Slice: This operation selects a single dimension from a cube, allowing you to view data from a specific perspective, such as viewing sales for a specific year.
   • Dice: This operation creates a sub-cube by selecting two or more dimensions, allowing for a more focused analysis than slice.
   • Pivot: This operation allows users to rotate the data axes in view, providing a different perspective on the data.

In summary, roll-up is a crucial operation within OLAP systems for data summarization and analysis, helping to provide insights at higher levels of abstraction.