A data cube is like a big box full of information. Imagine your toy blocks all piled up together. Each block has a different color, shape, and size. Now picture those blocks as different pieces of information about something, like all the items you have in your toy box.
The data cube helps you keep track of all that information in a neat and organized way. It arranges your blocks into rows, columns, and layers, like a big three-dimensional puzzle. Each layer represents a different category, or dimension, of information.
For example, the first layer might be the colors of your toy blocks. The second layer might be the shapes of your blocks, and the third might be the sizes. You can slice, dice, and rotate the data cube to get different views of your toy box information depending on what you want to know.
So let's say you want to find out how many square blocks you have that are blue and small. You can easily drill down to that specific combination in the data cube, which saves you a lot of time and effort compared to looking for those blocks randomly in your toy box.
In summary, a data cube is like a three-dimensional container that stores and organizes information into categories or dimensions, making it faster and easier to access and analyze specific subsets of data.