This runs the datasurface customer data simulator

You can seed realistic customer data into PostgreSQL, SQL Server, or Snowflake by running a Docker-based Python simulator that prompts for connection details and automatically populates the database with customers and addresses.

Generating test customer data for staging environments is best handled by an automated simulator that creates realistic customers and addresses, accelerating development and integration testing without manual data entry.

Yes, the customer data simulator works with SQL Server and Snowflake, alongside PostgreSQL, requiring only database connection details to populate the test schema.

To populate a fresh database with customers and addresses for integration testing, launch the simulator container and provide DB_TYPE, DB_HOST, DB_DATABASE, DB_USER, and DB_PASSWORD when prompted to seed the initial data.

Yes, you can generate deterministic or randomized customer data to mirror production schemas, which is useful for validating data workflows, reporting, and ETL processes in test environments.

Yes, you need Docker to run the customer data simulator, as the solution relies on a Docker-based Python container to execute the data generation and seeding process.