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2. OLAP cube - Wikipedia

   en.wikipedia.org/wiki/OLAP_cube

   An example of an 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. 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.

4. 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.

5. 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 ...

6. 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.

7. Essbase - Wikipedia

   en.wikipedia.org/wiki/Essbase

   Also note that of the above competitors, including Essbase, all use heterogenous relational (Microsoft SQL Server, Oracle, IBM DB/2, TeraData, Access, etc.) or non-relational data sourcing (Excel, text Files, CSV Files, etc.) to feed the cubes (facts and dimensional data), except for Oracle OLAP which may only use Oracle relational sourcing.

8. 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.

9. Microsoft Analysis Services - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Analysis_Services

   OLAP Services supported MOLAP, ROLAP, and HOLAP architectures, and it used OLE DB for OLAP as the client access API and MDX as a query language. It could work in client-server mode or offline mode with local cube files. [3] In 2000, Microsoft released Analysis Services 2000. It was renamed from "OLAP Services" due to the inclusion of data ...