brewdata-dbt-Snowflake

brewdata-dbt-Snowflake is an advanced integration framework that enables seamless synthetic data generation within Snowflake using dbt Core. This project simplifies data transformation and management by leveraging Python-based dbt models alongside the brewdata package. Designed for developers, analysts, and data engineers, it provides an efficient way to generate high-quality synthetic data for testing, development, and analytics.

Key Features

Synthetic Data Generation Strategies

Standard Strategies – Includes random name, address, date, phone number, email, credit card, IP address, and more.

GAN-Based Strategies – Advanced synthetic data generation using GANs for categorical and numeric data which preserve statistical properties.

This solution empowers businesses to test and develop data-driven applications securely by generating realistic yet anonymized synthetic data within Snowflake.