What Is Data Profiling?
Data profiling is the process of examining, analyzing, and summarizing data to gain insights into its structure, content, and quality. This process helps identify patterns, detect anomalies, and understand relationships within the data. By using data profiling techniques, organizations can ensure that their datasets are accurate, consistent, and suitable for further analysis or decision-making. Common methods include assessing data completeness, identifying duplicates, and analyzing data distributions. Data profiling serves as a critical step in data management practices, laying the foundation for effective data governance and analytics initiatives.