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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. 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. Data cube - Wikipedia

    en.wikipedia.org/wiki/Data_cube

    In computer programming contexts, a data cube (or datacube) is a multi-dimensional ("n-D") array of values. Typically, the term data cube is applied in contexts where these arrays are massively larger than the hosting computer's main memory; examples include multi-terabyte/petabyte data warehouses and time series of image data.

  6. Contingency table - Wikipedia

    en.wikipedia.org/wiki/Contingency_table

    A pivot table is a way to create contingency tables using spreadsheet software. Example ... OLAP cube, a modern multidimensional computing form of contingency tables;

  7. Pentaho - Wikipedia

    en.wikipedia.org/wiki/Pentaho

    It allows a user to visually create MDX queries by dragging parts of a previously defined Mondrian OLAP schema onto a canvas, where other activities can take place like filtering, sorting, creating calculated members from other measures, exporting the result table to PDF or MS Excel, and optionally graphing the data.

  8. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    Feeding cubes – star schemas are used by all OLAP systems to build proprietary OLAP cubes efficiently; in fact, most major OLAP systems provide a ROLAP mode of operation which can use a star schema directly as a source without building a proprietary cube structure.

  9. Data Analysis Expressions - Wikipedia

    en.wikipedia.org/wiki/Data_Analysis_eXpressions

    Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.