# What is OLAP slice and dice?

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## What does it mean to slice and dice data?

: to divide something into many small parts especially to use the result for one’s own purposes You can slice and dice the data any way you want.

## What is difference between Slice and dice?

To slice and dice is to break a body of information down into smaller parts or to examine it from different viewpoints so that you can understand it better. To slice means to cut and to dice means to cut into very small uniform sections and the two actions are often performed sequentially. …

## What are OLAP cubes used for?

An OLAP cube is a data structure that overcomes the limitations of relational databases by providing rapid analysis of data. Cubes can display and sum large amounts of data while also providing users with searchable access to any data points.

## What is a data slice?

A data slice is a logical representation of the data that is saved in the partitions of a disk. The data slice contains pieces of each user database and table. The IBM® Netezza® system distributes the user data to all of the disks in the system by using a hashing algorithm.

## What is slice and dice in Excel?

Slicing and Dicing a Set of Data

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The phrase “slice and dice” is used a lot when referring to the analysis of data. The Slicing part refers to filtering your data to focus on just a subset – essentially the “where” statement. Dicing the data refers to selecting which attributes we’re grouping the data by.

## Is slicing and chopping the same?

As verbs the difference between slice and chop

is that slice is to cut into slices while chop is to cut into pieces with short, vigorous cutting motions or chop can be (obsolete) to exchange, to barter; to swap.

## What is slice operation example?

The slice operation performs a selection on one dimension of the given cube, resulting in a subcube. Reduces the dimensionality of the cubes. For example, if we want to make a select where Medal = 5. Slice Operation. The dice operation defines a sub-cube by performing a selection on two or more dimensions.