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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It helps to aggregate data
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It helps to understand data
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It helps to detect abnormality in data
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It helps to generate sample data
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Detailed explanation-1: -Data profiling helps you discover, understand and organize your data. It should be an essential part of how your organization handles its data for several reasons. First, data profiling helps cover the basics with your data, verifying that the information in your tables matches the descriptions.
Detailed explanation-2: -Data profiling is the process of examining, analyzing, and creating useful summaries of data. The process yields a high-level overview which aids in the discovery of data quality issues, risks, and overall trends. Data profiling produces critical insights into data that companies can then leverage to their advantage.
Detailed explanation-3: -Examples of data profiling Data profiling can be implemented in a variety of use cases where data quality is important. For example, projects that involve data warehousing or business intelligence may require gathering data from multiple disparate systems or databases for one report or analysis.
Detailed explanation-4: -Ultimately, data profiling helps your organization cleanse and organize your data to ensure that it can be easily understood and used to guide decision-making. Profiling your data helps to highlight quality issues, group-related data, and identify trends. Data profiling is often confused with data mining.