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  2. 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.

  3. 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.

  4. Tableau Software - Wikipedia

    en.wikipedia.org/wiki/Tableau_Software

    Tableau products query relational databases, online analytical processing cubes, cloud databases, and spreadsheets to generate graph-type data visualizations. The software can also extract, store, and retrieve data from an in-memory data engine.

  5. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    Such MOLAP tools generally utilize a pre-calculated data set referred to as a data cube. The data cube contains all the possible answers to a given range of questions. As a result, they have a very fast response to queries. On the other hand, updating can take a long time depending on the degree of pre-computation.

  6. Datawatch Corporation - Wikipedia

    en.wikipedia.org/wiki/Datawatch_Corporation

    Datawatch's technology relies on in-memory OLAP (Online Analytical Processing) cubes, which are displayed through a series of visualizations including treemaps.This allows the user to load data, select variables and hierarchical structures, and navigate through the resultant visualization, filtering, zooming and drilling (sometimes called slicing and dicing), to identify outliers, correlations ...

  7. t-distributed stochastic neighbor embedding - Wikipedia

    en.wikipedia.org/wiki/T-distributed_stochastic...

    It is a nonlinear dimensionality reduction technique for embedding high-dimensional data for visualization in a low-dimensional space of two or three dimensions. Specifically, it models each high-dimensional object by a two- or three-dimensional point in such a way that similar objects are modeled by nearby points and dissimilar objects are ...

  8. Volume rendering - Wikipedia

    en.wikipedia.org/wiki/Volume_rendering

    In scientific visualization and computer graphics, volume rendering is a set of techniques used to display a 2D projection of a 3D discretely sampled data set, typically a 3D scalar field. A typical 3D data set is a group of 2D slice images acquired by a CT , MRI , or MicroCT scanner .

  9. Comparison of OLAP servers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_OLAP_servers

    icCube reporting and all XMLA compliant visualization tools like Excel, etc Yes Yes 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