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.