{"id":1068,"date":"2024-02-18T22:46:39","date_gmt":"2024-02-18T22:46:39","guid":{"rendered":"https:\/\/learnlearn.uk\/ibcs\/?page_id=1068"},"modified":"2024-02-18T22:48:30","modified_gmt":"2024-02-18T22:48:30","slug":"multi-dimensional-database-models","status":"publish","type":"page","link":"https:\/\/learnlearn.uk\/ibcs\/multi-dimensional-database-models\/","title":{"rendered":"Multi-Dimensional Database Models"},"content":{"rendered":"
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Introduction<\/h2>\n
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Multi-dimensional databases<\/h3>\n

Multi-dimensional databases are specialized databases optimized for data analysis and online analytical processing (OLAP) applications.<\/p>\n

These databases are designed to store data in a way that it can be viewed and analyzed from different perspectives, making them highly effective for complex queries and analysis over large volumes of data.<\/p>\n

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Data Organization<\/h2>\n
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Data Organization<\/h3>\n

Multi-dimensional databases organize data into dimensions and facts, where dimensions represent qualitative data (such as time, geography, product categories) and facts represent quantitative data (such as sales, cost).<\/p>\n

This structure is often visualized as a cube, where each dimension forms an axis, and the facts are the measurements within the cube.<\/p>\n\n<\/div>

OLAP <\/h2>\n
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OLAP Operations<\/h3>\n

Multi-dimensional databases support OLAP operations, which include:<\/p>\n