Data Profile Generate a comprehensive profile of a table that a new team member could use to understand the data. Step 1: Basic Metadata Query column metadata: If the table name isn't fully qualified, search INFORMATION SCHEMA.TABLES to locate it first. Step 2: Size and Shape Run via : Step 3: Column-Level Statistics For each column, gather appropriate statistics based on data type: Numeric Columns String Columns Date/Timestamp Columns Step 4: Cardinality Analysis For columns that look like categorical/dimension keys: This reveals: - High-cardinality columns (likely IDs or unique values) - Lo…