Creating realistic, secure test data for Databricks

**Executive Summary:** This document explains how Tonic integrates with Databricks to create realistic, privacy-preserving synthetic test data—covering supported data formats (Parquet, JSON, Avro), managed vs. external tables, Spark job support, subsetting, consistency across tables, dependency linking, foreign key handling, and the option to apply differential privacy; it is a technical/product guide rather than a cybersecurity incident report.