Unlike the relational model, the most widespread data model -where information is stored through fields and records-, Multidimensional databases are characterized by the following attributes:
- They focus on the Building OLAP applications and can be seen as databases contained in a single table.
- In multivalued tables, the records are stored referring to their dimensions or the metrics to be analyzed, implementing a field or column for each dimension and another field for each metric or fact.
- The tables of the multidimensional model are assimilated to a hypercube O, if we use OLAP tools, yet Cubo OLAP. In both cases, the dimensions of the cubes correspond to those of the table and the value stored in each cell is equal to that of the metric.
The versatility of multidimensional databases
Multidimensional databases are characterized by greater versatility than relational databases when making inquiries. In reality, are often created from relational database entries, regularly accessed via SQL, the query language for this type of databases.
Unlike the declarative character of the SQL language (commands specify the result), BDMDs facilitate a very useful type of analysis for the business, that makes it possible to selectively extract data and perform different types of queries. Despite this, It is essential to emphasize that although OLAP cubes are very advantageous in terms of speed and processing, It is not feasible to modify the structure of these multidimensional databases, so when it is necessary to make changes, they will have to be redesigned.
It is common to use it for know sales in a given context, as an example, show a spreadsheet with the sales of a product in a specific location and during a certain period, as well as make comparisons between different queries and similar questions in order to summarize operations or discover business trends.
This type of analysis, inaccessible to relational databases, it is possible by storing OLAP data in a multidimensional database.l, where each attribute of the data (Geographic area, product and time period, Let's say) is considered separately and, at the same time, can be divided into sub-attributes.
Multidimensional databases help build a competitive advantage
OLAP software enables you to discover new relationships or apply data mining, regularly using multidimensional database management systems., ideal for performing complex queries efficiently.
At the same time generating reports that help improve competitive advantage, in practice, the multidimensional data model makes it possible to have access to large amounts of information and obtain relationship analysis of different types of items relevant to the business.
In summary, the speed of queries and processing translates into a simplifying processes and promoting business agility. This enables the user, among other things, manage data more easily, which can be very useful to correct the content of a report or obtain more or less detailed information to share.
Did you know the potential of multidimensional databases?
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