0 / 0
Creating synthetic data from a custom data schema
Last updated: Jan 12, 2024
Creating synthetic data from a custom data schema

Using the Synthetic Data Generator graphical editor flow tool, you can generate a structured synthetic data set based on meta data, automatically or with user-specified statistical distributions. You can define the data within each table column, their distributions, and any correlations. You can then export and review your synthetic data.

Before you can use generate to create synthetic data, you need to create a task.

1. The Generate synthetic tabular data flow window opens. Select use case Create from custom data schema. Click Next. Generate synthetic tabular data flow window

2. Select Generate options. You can use the Synthetic Data Generator graphical editor flow tool to specify the number of rows and add columns. You can define properties and specify fields, storage types, statistical distributions, and distribution parameters. Click Next. Generate options

3. Select Export data to select the export file name and type. For more information, see Exporting data. Click Next. Export data

4. Select Review to check your selection and make any updates before generating your synthetic data. Click Save and run. Review data

Learn more

Creating synthetic data from production data

Generative AI search and answer
These answers are generated by a large language model in watsonx.ai based on content from the product documentation. Learn more