The main difference between slice and dice in data warehouse is that slice is an operation that selects a specific dimension from a given data cube and provides a new subcube while dice is an operation that selects two or more dimensions from a given data cube. given data cube and provides a new subcube. W hat’s the difference btw cut and dice in data warehouse?
A data warehouse is a system used for reporting and data analysis, which supports decision making. First, data from multiple sources is extracted, transformed, and loaded into the warehouse. Analyzes are then performed using the Online Analytical Processing (OLAP) server, which is based on the multidimensional data model. There are several OLAP operations, such as scroll, drill down, slice and cut, and flip (rotate). Roll up is used to add in a data cube; the drill is used to reverse the scroll up operation while the pivot is used to rotate the data axes in view to provide an alternate presentation of the data. In this article, we are looking at slice and dice.
Key Areas Covered
1. What is Slice in Data Warehouse
– Definition, Functionality, Usage.
2. What is
Dice in Data Warehouse – Definition, Functionality, Usage.
3. What is the difference between Slice and Dice in Data Warehouse?
– Comparison of key differences
What is Slice in Data Warehouse
An OLAP cube is a multidimensional array of data. Data as a cube with hierarchical dimensions help to analyze. Aligned information is easier to visualize and improves productivity.
The slice selects a single value for one of its dimensions and creates a subset of the cube. According to the diagram above, the sales regions, the products in the year 2005 and 2006 are cut from the data cube.
What is the dice in the data warehouse
Dice selects specific values from multiple dimensions to produce a new subcube. An example is the following.
According to the diagram above, the sales figures for a limited number of product categories, time, and region dimensions that cover the original range are used to form the new cube.
Difference Between Cut and Dice in Data Warehouse
Definition What’s the difference btw cut and dice in data warehouse?
Slicing is the act of choosing a rectangular subset of a cube by choosing a single value for one of its dimensions, creating a new cube with fewer dimensions. Dice is the act of producing a subcube by allowing the analyst to choose specific values from multiple dimensions. Thus, this describes the main difference between cut and die in data warehouse.
Use What’s the difference btw cut and dice in data warehouse?
Another difference between cut and die in data warehouse is their usage. Splitting is used to select a particular dimension of a given cube and to provide a new subcube. The dice are used to select two or more dimensions of a given cube and to provide a new subcube.
conclusion What’s the difference btw cut and dice in data warehouse?
Slice and dice are two operations that are used in OLAP strategy in data warehouses. The main difference between split and dice in data warehouse is that split is an operation that selects a specific dimension from a given data cube and provides a new subcube while dice is an operation that selects two or more dimensions. from a given data cube and provides a new subcube.