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2. OLAP cube - Wikipedia

   en.wikipedia.org/wiki/OLAP_cube

   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.

3. Online analytical processing - Wikipedia

   en.wikipedia.org/wiki/Online_analytical_processing

   OLAP clients include many spreadsheet programs like Excel, web application, SQL, dashboard tools, etc. Many clients support interactive data exploration where users select dimensions and measures of interest. Some dimensions are used as filters (for slicing and dicing the data) while others are selected as the axes of a pivot table or pivot chart.

4. MultiDimensional eXpressions - Wikipedia

   en.wikipedia.org/wiki/MultiDimensional_eXpressions

   Multidimensional Expressions (MDX) is a query language for online analytical processing (OLAP) using a database management system. Much like SQL , it is a query language for OLAP cubes . [ 1 ] It is also a calculation language, with syntax similar to spreadsheet formulae.

5. Pivot table - Wikipedia

   en.wikipedia.org/wiki/Pivot_table

   Excel pivot tables include the feature to directly query an online analytical processing (OLAP) server for retrieving data instead of getting the data from an Excel spreadsheet. On this configuration, a pivot table is a simple client of an OLAP server.

6. Palo (OLAP database) - Wikipedia

   en.wikipedia.org/wiki/Palo_(OLAP_database)

   Palo Suite is a tightly integrated framework consisting of: Palo MOLAP Server, Palo ETL Server, Palo Web (Palo Spreadsheet - Connection, User, ETL, File and Report Manager), Palo for Excel, Palo Supervision Server and the Palo Client Libraries. The Data in Palo database is stored as a cube in the Palo MOLAP server.

7. Functional database model - Wikipedia

   en.wikipedia.org/wiki/Functional_Database_Model

   The functional model is based on multidimensional arrays, or "cubes", of cells that, as in a spreadsheet, can be either externally input, or calculated in terms of other cells. Such cubes are constructed using dimensions which correspond to hierarchically organized sets of real entities such as products, geographies, time, etc.

8. Comparison of OLAP servers - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_OLAP_servers

   Jedox OLAP Server: Yes Yes Yes Cube Rules, SVS Triggers Yes No Yes Microsoft Excel, Qlik, Tableau, Jedox Web, Power BI No Yes Kyvos: Yes Yes Yes No Yes Yes No Kyvos Viz, Microsoft Excel, Qlik, Tableau, Power BI, MicroStrategy, IBM Cognos, Business Objects, XLCubed, Looker, Altryx, and more Yes Yes Microsoft Analysis Services: Yes Yes Yes .NET ...

9. Dimension (data warehouse) - Wikipedia

   en.wikipedia.org/wiki/Dimension_(data_warehouse)

   A dimension table in an OLAP cube with a star schema. A dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. Commonly used dimensions are people, products, place and time. [1] [2] (Note: People and time sometimes are not modeled as dimensions.)