What is data profiling?
Data profiling is the process of examining data from an existing source and summarizing information about that data.
Why is data profiling important?
It's important because it helps organizations understand their data quality, structure, and relationships, leading to better decision-making.
What are the common techniques used in data profiling?
Common techniques include data type analysis, uniqueness analysis, and pattern matching to identify anomalies.
Can you give me an example of data profiling in action?
Sure! For instance, a company might profile customer data to identify duplicates and ensure accurate marketing targeting.
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