Multidimensional data array organized for rapid analysis
An OLAP cube is a multi-dimensional array of data.[1] Online analytical processing (OLAP)[2] is a computer-based technique of analyzing data to look for insights. The term cube here refers to a multi-dimensional dataset, which is also sometimes called a hypercube if the number of dimensions is greater than three.
^Gray, Jim; Bosworth, Adam; Layman, Andrew; Pirahesh, Hamid (1996). "Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals". Proceedings of the International Conference on Data Engineering (ICDE). pp. 152–159. arXiv:cs/0701155. doi:10.1109/ICDE.1996.492099.
^"Overview of Online Analytical Processing (OLAP)". support.office.com. Retrieved 2018-09-08.
An OLAPcube is a multi-dimensional array of data. Online analytical processing (OLAP) is a computer-based technique of analyzing data to look for insights...
analytical processing, or OLAP (/ˈoʊlæp/), is an approach to quickly answer multi-dimensional analytical (MDA) queries. OLAP is part of the broader category...
data cube is used to represent data (sometimes called facts) along some dimensions of interest. For example, in online analytical processing (OLAP) such...
Pentaho is business intelligence (BI) software that provides data integration, OLAP services, reporting, information dashboards, data mining and extract, transform...
online analytical processing (OLAP), as they allow aggregation queries to be computed on the pre-computed results in the OLAPcube, rather than on the base...
online analytical processing (OLAP) using a database management system. Much like SQL, it is a query language for OLAPcubes. It is also a calculation language...
Data warehouse Extract, transform, load Fold (higher-order function) OLAPcube Relational algebra Wide and narrow data "United States Trademark Serial...
intelligence map. It has spurred the creation of scores of rival OLAP products – and billions of OLAPcubes". Essbase was originally developed to address the scalability...
in-memory multidimensional OLAPcubes, generally at the "leaf" level, and consolidated on demand. In addition to data, cubes can include encoded rules...
Windows computer but may connect to non-Windows servers. CubePort converts the various OLAP structures and syntaxes in the source through an extraction...
small-to-medium corporations. Data warehouse Enterprise architecture OLAPcube Inmon, William (July 18, 2000). "Data Mart Does Not Equal Data Warehouse"...
their cubes.) As of Oracle Database 11g, the Oracle database optimizer can transparently redirect SQL queries to levels within the OLAP Option cubes. The...
include the need to define stored procedures, or materialized query views, OLAPcubes, etc. The following steps are suggestion of the data modeling process...
when accessing and analyzing data stored in relational databases and OLAPcubes. This is claimed to be core business intelligence (BI) technology that...
14 OLAPcubes which can be used to do Data Analysis with. It is an improvement over the 2003 version which only had 1 OLAPcube. With the new cube Calculated...
operations. Feeding cubes – star schemas are used by all OLAP systems to build proprietary OLAPcubes efficiently; in fact, most major OLAP systems provide...
and have been extended to snowflake schemas Prebuilt summarization or OLAPcubes With the continued dramatic increase in all three of storage, processing...
Discovery in Databases" process, or KDD. Decision support system (DSS) – OLAPcube – set of data, organized in a way that facilitates non-predetermined queries...
identify outliers, correlations and trends. Its streaming OLAP implementation takes an in-memory OLAPcube and allows data to be streamed through it. This combination...