OLAP is a technique that allows a large volume of data to be analyzed at high speeds using multi-dimensional analysis. Most OLAP databases are built around the OLAP cube, a tool that allows you to ...

In a sense, the conceptual data model serves as a bridge between a business model and the multidimensional data model. The solutions architect is the primary user for the conceptual data model.

What Is The Function Of A Olap Database? Data mining and business intelligence, advanced analytical calculations, and business reporting functions like budgeting and sales forecasting can all be ...

You can use the MDP as an extension to the SAS/EIS multidimensional data model, thus enabling SAS/EIS OLAP applications to access transparently any data that has been distributed optimally. The MDP ...

Continuing the trend of packing more business intelligence functionality into the database, IBM Corp. on May 2 announced it has released DB2 OLAP Server 8.1. The new software pulls together what ...

Pitram’s OLAP Analysis module provides users with the necessary tools to perform multidimensional analysis of operational mining data.

Key components of Multi-Dimensional Modeling include measures, dimensions, cubes, hierarchies, aggregation, and OLAP systems. “These elements work in tandem to organize and analyze data efficiently, ...

The SAS/ACCESS interface to OLE DB provides a facility for accessing OLE DB for OLAP data. You can specify a Multidimensional Expressions (MDX) statement through the SQL Procedure Pass-Through ...

As a result, business users will have total alignment based on the standardized semantic definition and relieve the trust pain. From the storage perspective, multidimensional databases will persist ...