Role of multidimensional database in modern organizations
Posted: Tue Jan 21, 2025 10:48 am
For large amounts of heterogeneous data, relational databases are ineffective. A new concept is required: multidimensional database.
The vast amount of heterogeneous data accumulated by organizations represents one of the reasons why companies need a technology that allows them to quickly perform complex analysis on this data. Because relational databases are inefficient, from this point of view a new concept is required, the concept of multidimensional database .
Every year, a large volume of information accumulates in any organization. The heads of the different departments must periodically prepare reports that summarize the information accumulated in different periods and to facilitate this task, a multidimensional database must be designed where this information is stored to streamline its activity.
Let's look at the concept of a multidimensional linkedin database and its characteristics, as well as a comparison with relational databases and their main advantages and disadvantages.
New call to action
Concept and characteristics of a multidimensional database
A multidimensional database represents a type of database where data is stored in cells and each cell position is defined by a set of variables called dimensions . Each cell signifies a business event and the dimension values indicate the time and place where the event occurs. You can find it with different synonyms such as cube, hypercube, OLAP cube, OLAP database or multidimensional data warehouse . Although logically a multidimensional database resembles a cube, physically it is stored as a compressed multidimensional array with offset positioning .
The data model for a multidimensional database design is the multidimensional data model that contains fact tables with measure type attributes and dimension tables with descriptive attributes. Members of the dimension tables can be organized into hierarchies.
Comparative analysis between multidimensional databases and relational databases
In reality, it cannot be said that one type of database is much better than the other or that relational databases are completely obsolete. Both types of databases have advantages and disadvantages and it is important to identify the situations in which a certain type of database is suitable for use.
The vast amount of heterogeneous data accumulated by organizations represents one of the reasons why companies need a technology that allows them to quickly perform complex analysis on this data. Because relational databases are inefficient, from this point of view a new concept is required, the concept of multidimensional database .
Every year, a large volume of information accumulates in any organization. The heads of the different departments must periodically prepare reports that summarize the information accumulated in different periods and to facilitate this task, a multidimensional database must be designed where this information is stored to streamline its activity.
Let's look at the concept of a multidimensional linkedin database and its characteristics, as well as a comparison with relational databases and their main advantages and disadvantages.
New call to action
Concept and characteristics of a multidimensional database
A multidimensional database represents a type of database where data is stored in cells and each cell position is defined by a set of variables called dimensions . Each cell signifies a business event and the dimension values indicate the time and place where the event occurs. You can find it with different synonyms such as cube, hypercube, OLAP cube, OLAP database or multidimensional data warehouse . Although logically a multidimensional database resembles a cube, physically it is stored as a compressed multidimensional array with offset positioning .
The data model for a multidimensional database design is the multidimensional data model that contains fact tables with measure type attributes and dimension tables with descriptive attributes. Members of the dimension tables can be organized into hierarchies.
Comparative analysis between multidimensional databases and relational databases
In reality, it cannot be said that one type of database is much better than the other or that relational databases are completely obsolete. Both types of databases have advantages and disadvantages and it is important to identify the situations in which a certain type of database is suitable for use.