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Understanding Data Cubes for Efficient Data Dissemination

Learn about data cubes, multi-dimensional structures storing unique data combinations. Discover the importance and flexibility of data cubes in statistical data management systems for easy expansion and selection of relevant data.

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Understanding Data Cubes for Efficient Data Dissemination

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  1. Introduction to Data Cubes UNECE Workshop on Developing Data Dissemination Systems – Geneva, 12 May 2007

  2. What is a data cube? • A multi-dimensional structure containing data points that represent unique combinations of several classifications • A flexible way of storing and disseminating data

  3. Two-dimensional cube

  4. Three-dimensional cube

  5. More dimensions are possible,but not easy to display!

  6. Why are data cubes important? • Many recent statistical data management models and systems are based on cubes • Users can select just those data that are of interest • Cubes can easily be expanded, e.g. for extra years, countries, or other categories • At least in theory, cubes can have an infinite number of dimensions

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