DataMynd Docs
Synthetic Data Generator Docs
Synthetic Data Generator Docs
  • Synthetic Data Generator
    • About
    • Requirements And Setup
    • Private Link Information
  • Application Workflow
    • Project Setup
    • Select ML Model
    • Data Config
    • Train and Generate
    • Quality Report and Preview
  • Other
    • Object Privileges
    • Performance and Accuracy Tuning
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  1. Synthetic Data Generator

About

NextRequirements And Setup

Last updated 7 months ago

The Synthetic Data Generator app from DataMynd is available as a on the .

The app provides users with a simple workflow to easily generate high-quality synthetic data based on one or multiple tables in a real production schema.

The application works by training one of several available ML models on real data before the trained model is used to generate synthetic data.

The newly generated synthetic data is saved to a new schema and the app can also be used to quickly preview, analyze and evaluate the fit relative to the real data.

All logic is performed on the consumer's Snowflake account. No external API calls are made at any point either during installation or use. No third-party services are used at any point by the application. No Data or metadata are shared outside of the consumer's account.

Native App
Snowflake Marketplace
Conceptual architecture for Synthetic Data Generator Native App (orange) deployed within a single Snowflake account (blue).