Data Warehouse and Data Mining by Kumar Jugnesh;

Author:Kumar, Jugnesh;
Language: eng
Format: epub
Publisher: BPB Publications

Computation of data cubes

Combining and condensing data into multidimensional structures known as data cubes is known as the computation of data cubes. OLAP uses data cubes to speed up and streamline data analysis. Computation of data cubes involves transforming raw data into a multi-dimensional format for efficient analysis. Consider a sales dataset with dimensions like time, product, and region. Creating a data cube allows aggregating sales metrics, such as total revenue, across different combinations of these dimensions. For instance, one can analyze monthly revenue for a specific product category in a particular region. This process provides a comprehensive view of data relationships, aiding in business decision-making. Data cubes are pivotal in OLAP systems, allowing users to explore and visualize data from various perspectives for deeper insights. Refer to Figure 3.2:

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