Source Analyzer Audience: Data engineers planning ETL pipelines. Goal: Characterize data sources for extraction planning by analyzing volume, update patterns, schema, and quality baselines. Analysis Dimensions Volume Analysis - Current row count - Historical growth rate (if multiple snapshots available) - Projected growth - Peak vs average volume - Seasonality patterns Update Patterns - Full refresh vs incremental - Update frequency (hourly, daily, weekly) - Batch arrival times - Late-arriving data windows Schema Characteristics - Column count and types - Nullable patterns - Primary key candi…