Data Profiling

collect Metadata about data.

• Data types and value patterns such as most frequent values.
• Completeness and uniqueness of columns.
• Number of null values and distinct values in a column.
• Keys and foreign keys.
• Occasionally Functional Dependencies and association rules.
• Discovery of inclusion dependencies and conditional functional dependencies.