data profiling

What are the Challenges in Data Profiling?


Despite its benefits, data profiling comes with its own set of challenges:
Data Volume: Handling large volumes of data can be resource-intensive and time-consuming.
Data Variety: The diversity of data formats and sources can complicate the profiling process.
Data Quality: Poor-quality data can lead to inaccurate profiling results, affecting business decisions.
Technical Complexity: Requires technical expertise and advanced tools, which can be costly and difficult to implement.

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