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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. 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.

  5. Functional database model - Wikipedia

    en.wikipedia.org/wiki/Functional_Database_Model

    A dimension is a finite set of elements, or members, that identify business data, e.g., time periods, products, areas or regions, line items, etc. Cubes are built using any number of dimensions. A cube is a collection of cells, each of which is identified by a tuple of elements, one from each dimension of the cube.

  6. MultiDimensional eXpressions - Wikipedia

    en.wikipedia.org/wiki/MultiDimensional_eXpressions

    The MultiDimensional eXpressions (MDX) language provides a specialized syntax for querying and manipulating the multidimensional data stored in OLAP cubes. [1] While it is possible to translate some of these into traditional SQL, it would frequently require the synthesis of clumsy SQL expressions even for very simple MDX expressions.

  7. Masaaki Tanaka - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/masaaki-tanaka

    From March 2011 to December 2012, if you bought shares in companies when Masaaki Tanaka joined the board, and sold them when he left, you would have a -33.7 percent return on your investment, compared to a 9.2 percent return from the S&P 500.

  8. William J. Johnson - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/william-j-johnson

    From January 2008 to May 2011, if you bought shares in companies when William J. Johnson joined the board, and sold them when he left, you would have a -47.9 percent return on your investment, compared to a -8.2 percent return from the S&P 500.

  9. Flour Bugs Are a Real Thing—Here’s an Easy Way to ... - AOL

    www.aol.com/lifestyle/flour-bugs-real-thing-easy...

    A food safety expert weighs in on flour bugs, also known as weevils, that can infest your pantry after one TikToker found her flour infested with the crawlers.