With Gretel, developers can get started in minutes with open source reference examples and simple APIs for generating unlimited amounts of synthetic data, labeling personally identifiable information, or anonymizing and removing biases from data.
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product2024-11-05
This guide demonstrates integrating Gretel with BigQuery DataFrames for synthetic data generation. By leveraging BigQuery's pandas-compatible APIs and Gretel's machine learning tools, users can generate and de-identify high-quality synthetic data that maintains data privacy and regulatory compliance. The process includes data de-identification with Gretel's Transform v2 and synthetic data generation with Gretel Navigator Fine Tuning, optimized for handling patient records with complex data relationships.
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