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What is a data cube, and why is it important?
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A data cube is a multidimensional array of data used to represent data in a structured and easily analyzable format, particularly in the context of Online Analytical Processing (OLAP) and data warehousing.
Data Cube allows data to be modeled and viewed across multiple dimensions, enabling more flexible and powerful analysis of large datasets. Each dimension in a data cube represents a different aspect of the data (e.g., time, product, location), and the cells of the cube store aggregated or detailed data corresponding to those dimensions.
Structure of a Data Cube:
A data cube organizes data into dimensions and measures:
Dimensions: Dimensions represent the perspectives or attributes along which data can be analyzed. For example, in a sales dataset, dimensions might include time (e.g., year, quarter, month), product (e.g., electronics, clothing)…
