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Cubes provides to an analyst or any application end-user "understandable and natural way of reporting using concept of data Cubes – multidimensional data objects". Cubes was first publicly released in March 2011. The project was originally developed for Public Procurements of Slovakia. [3] Cubes 1.0 was released in September 2014 and ...
There are six primary data types in MDX Scalar. Scalar is either a number or a string. It can be specified as a literal, e.g. number 5 or string "OLAP" or it can be returned by an MDX function, e.g. Aggregate (number), UniqueName (string), .Value (number or string) etc. Dimension/Hierarchy. Dimension is a dimension of a cube. A dimension is a ...
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.
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.
As of 2009 two options can export Essbase cubes into other formats: CubePort, a commercial conversion application, converts Essbase cubes to the Microsoft SQL Server Analysis Services product. This product performs an object-to-object translation that make up an Essbase cube, including: outline, member formulas, calc scripts, data loading (load ...
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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.
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