Google¶
The following sections describe techniques for integrating the Google Cloud Engine with DataRobot:
| Topic | Describes... |
|---|---|
| Ingest BigQuery data in DataRobot | In Workbench, retrieve BigQuery data to add it to your Use Case and register it in the Data Registry. |
| Wrangle BigQuery data in DataRobot | In Workbench, build wrangling recipes and push down those transformations to BigQuery where they are applied to the source data by leveraging BigQuery SQL. |
| Deploy and monitor models on GCP | Deploying and monitoring DataRobot models on the Google Cloud Platform (GCP). |
| Deploy the MLOps agent on GKE | Deploying the MLOps agent on Google Kubernetes Engine (GKE) to monitor models. |
Updated March 8, 2024
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