Multidimensional data management systems that offer search and update operations in multidimensional data are known as multidimensional data structures. Multidimensional data structures are sometimes known as spatial access methods, multidimensional access methods, or spatial index structures in the literature.
A primary subject, like sales, serves as the organizing principle for a multidimensional data model. A fact table is used to illustrate this theme. Facts are quantified data. The names of the facts or measures of the associated dimensional tables are contained in the fact table.
Multidimensional data, often known as features or attributes, is a data set having numerous separate columns. The likelihood that you will find hidden insights increases with the number of columns in the data collection. Two-dimensional analysis is useless in this situation. Consider this data to be a cube with numerous planes.
To learn more about multidimensional data structure refer to:
https://brainly.com/question/24782250
#SPJ4
