In this quick demo, you'll see how to use the MOSTLY AI Assistant to create a realistic multi-table synthetic dataset for a healthcare and life sciences (HLS) use case simply by describing your needs in natural language!
🚀 What you’ll learn:
How to generate synthetic data across four related tables: Patients, Visits, Diagnoses, and Medications
Setting a sample size (150 patients) and letting the Assistant build the schema and relationships automatically
Ensuring referential integrity across all tables
Validating table connections via primary and foreign keys
Creating quick data visualizations like a bar chart of the top 10 most common medications
Exporting the mock dataset as CSV files for use in testing, development, or analytics
💡 This synthetic dataset is realistic, privacy-safe, and ready to use in minutes, no manual setup or coding required.
📥 Ready to take it further? In the next video, we’ll show you how to scale the dataset and push it to a production-ready database.