High-speed analysis can be accomplished by extracting the relational data into a multidimensional format called an OLAP cube; by loading the data to be analyzed into memory; by storing the data in ...

New applications, such as agricultural reports, are emerging. Cubes used for OLAP allow fast data analysis by defining dimensions that define the problem being analysed. It might, for example, consist ...

cube can use a database dimension more than once. Data are stored in OLAP cubes which make up multidimensional arrays. Analysis of data is done electronically using an online analytical processing ...

Multi-dimensional OLAP, actually persistent data structures and access protocols, mostly on disk, but a few hybrid arrangements where the “cubes” were both physical and virtual or transient in memory.

"Kyvos is a solution which brings a new model of online analytical processing (OLAP) to Big Data that allows users to visually create and analyze 'cubes on Hadoop,' " the company said in a news ...

For example, for OLE DB for OLAP multidimensional data that contains CONTINENT ... to pass an MDX statement to a Microsoft SQL Server Decision Support Services (DSS) Cube. The provider used is the ...