FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -The core of most OLAP systems, the OLAP cube is an array-based multidimensional database that makes it possible to process and analyze multiple data dimensions much more quickly and efficiently than a traditional relational database.

Detailed explanation-2: -An OLAP cube is a data structure in the data warehouse that is optimized for improving the performance of data analysis. An OLAP cube is sometimes referred to as a hypercube. OLAP cubes contain multidimensional data and information from different unrelated sources for logical and orderly analysis.

Detailed explanation-3: -Relational OLAP Models (ROLAP) They save and manage warehouse data via a relational or extended-relational database management system, and they employ OLAP middleware to fill in the gaps. ROLAP models execute optimization for each DBMS back end, aggregate navigation logic implementation, and other tools and services.

Detailed explanation-4: -MOLAP. Multidimensional online analytical processing (MOLAP) involves creating a data cube that represents multidimensional data from a data warehouse. The MOLAP system stores precalculated data in the hypercube. Data engineers use MOLAP because this type of OLAP technology provides fast analysis.