For example, a shop may create a sales data warehouse to keep records of. The dimensions are the perspectives or entities concerning which an organization keeps records. It is defined by dimensions and facts. A data cube enables data to be modeled and viewed in multiple dimensions.

A data cube requires various measurements of data to be interpreted. Two or three-dimensional cubes are often served by data warehousing. Key words: data warehouse, data cube, OLAP, MOLAP, multidimensional data model INTRODUCTION Aggregation is predominant operation in decision support database systems.The multidimensional data model holds data in the shape of a data cube. 4) OO Conceptual Model Data Cube class definition of data cube.

Usually, this model is extended to applications working with OLAP techniques (Online Analytical Processing).How does the Multidimensional Data Model work?The Multidimensional Data Model, like every other system, often operates based on preset steps to preserve the same pattern in the industry and to allow the database structures already built or developed to be reusable. The Multidimensional Data Model can include two or three dimensions of objects from the database structure, versus a system of one dimension, such as a list.In organisations, it is usually used for objective findings and report production, which can be used as the primary source for imperative decision-making processes. The Multidimensional Data Model can be defined as a way to arrange the data in the database, to help structure and organize the contents of the database. For example, dimensions allow storing to keep track of items such as monthly item purchases and branches and positions in the store sales record.Cube data sources (also known as multidimensional or OLAP data sources) have certain characteristics that differentiate them from relational data sources.A multidimensional database allows to rapidly and reliably providing data-related responses to complicated market questions.

Constructing the Schema to place the data, for the information gathered from the above stepsAdvantages of Multidimensional Data ModelFollowings are the key advantages of Multidimensional Data Model - Discovering the facts from the already listed dimensions and their properties Drafting the real-time dimensions and the corresponding properties Spotting the various dimensions based on which the system needs to be designed Categorizing the various modules of the system Congregating the requirements from the client

Multidimensional Data Cubes