Building your Dataset

Create Tailored, High-Quality Synthetic Data

Data Designer offers powerful capabilities for generating various types of data with precise control. This guide provides an overview of the data generation process, which is broken down into two main phases:

1. Seeding Your Data: Establishing the foundation for your synthetic data

2. Generating Your Dataset: Creating, scaling, and exporting your synthetic data

The Data Generation Workflow

The typical Data Designer workflow follows these steps:

1. Design Phase: Define your data model with appropriate columns and relationships

2. Seed Phase: Add seed data to guide the generation process

3. Preview Phase: Test your design with a small sample

4. Batch Generation Phase: Scale up to create your full dataset