Data preparation¶
DataRobot’s data preparation offerings give you the ability to analyze, ingest, and transform your data for modeling and inference workflows. These endpoints include the functionality for creating connections to external data sources, ingesting and managing static and dynamic data assets in the Data Registry, and applying data transformations in preparation for modeling.
| Topic | Description |
|---|---|
| Data connectivity | Configure JDBC data connections and credentials for external database access. |
| Data wrangling | Prepare and transform data using SQL-based wrangling recipes and operations. |
| Data registry | Browse, register, version, and manage datasets in the AI Catalog and Data Registry. |
| Data management | Create feature lists, inspect feature metadata, and manage feature engineering settings. |
| Define datasets | Define and configure data source definitions for dynamic dataset creation. |
| Data exports | Export monitoring data and configure tracing for deployment predictions. |