DATABASE FUNDAMENTALS
DATA WAREHOUSING AND DATA MINING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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A condition when each cell of the cube is filled with data and that leads to more processing time.
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A condition when each cell of the cube is not filled with data and that leads to less processing time.
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A condition when each cell of the cube is not filled with data and that leads to more processing time.
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A condition when each cell of the cube is not filled with data.
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Detailed explanation-1: -Sparsity is a condition when each cell of the cube is not filled with data and that leads to more processing time. Sparsity and density is a database concept that defines the number of empty, or sparse, cells and those that are full, or dense.
Detailed explanation-2: -Sparse data is a variable in which the cells do not contain actual data within data analysis. Sparse data is empty or has a zero value. Sparse data is different from missing data because sparse data shows up as empty or zero while missing data doesn’t show what some or any of the values are.
Detailed explanation-3: -Sparsity and density are terms used to describe the percentage of cells in a database table that are not populated and populated, respectively. The sum of the sparsity and density should equal 100%. A table that is 10% dense has 10% of its cells populated with non-zero values.
Detailed explanation-4: -Data sparsity is term used for how much data we have for a particular dimension/entity of the model. It affects aggregation depending on how deep the combination of members of the sparse dimension make up.
Detailed explanation-5: -What is a Data Cube? A data cube (also called a business intelligence cube or OLAP cube) is a data structure optimized for fast and efficient analysis. It enables consolidating or aggregating relevant data into the cube and then drilling down, slicing and dicing, or pivoting data to view it from different angles.