Data¶
Data integrity and quality are cornerstones for creating highly accurate predictive models. These sections describe the tools and visualizations provided to ensure that your project doesn’t suffer the “garbage in, garbage out” outcome.
| Resource | Description |
|---|---|
| Build data connections | Integrate with a variety of enterprise databases. |
| Create and manage datasets | Ingest, transform, and store your data for experimentation. |
| Features | How to work with features and retrieve their statistics in your projects. |
| Feature Discovery | Deploy, monitor, manage, and govern all your models in production, regardless of how they were created or when and where they were deployed. |