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2. Dimension (data warehouse) - Wikipedia

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

   A common data warehouse example involves sales as the measure, with customer and product as dimensions. In each sale a customer buys a product. The data can be sliced by removing all customers except for a group under study, and then diced by grouping by product. A dimensional data element is similar to a categorical variable in statistics.

3. 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.

4. 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.

5. AOL - Finance News & Latest Business Headlines - AOL.com

   www.aol.com/careers

   Get breaking Finance news and the latest business articles from AOL. From stock market news to jobs and real estate, it can all be found here.

6. 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.

7. Oracle OLAP - Wikipedia

   en.wikipedia.org/wiki/Oracle_OLAP

   As of Oracle Database 11g, the Oracle database optimizer can transparently redirect SQL queries to levels within the OLAP Option cubes. The cubes are managed and can take the place of multi-dimensional materialized views, simplifying Oracle data-warehouse management and speeding up query response.