bigquery-mlops
Use when operationalizing, deploying, registering, exporting, importing, serving, monitoring, or scheduling BigQuery ML (ML.*), BigQuery AI (AI.*), or external models logging to BigQuery — across 8 production orchestrators (Scheduled Queries, Dataform, Cloud Workflows, dbt, Vertex AI KFP, Managed Airflow), Vertex AI Model Registry, EXPORT/IMPORT MODEL (XGBoost, ONNX, TensorFlow), REMOTE endpoints, drift/skew monitoring (ML.VALIDATE_DATA_DRIFT, ML.METRICS), and point-in-time feature stores (ML.ENTITY_FEATURES_AT_TIME).
- Version
- 0.10.0
Pinned to revision 2b1b87216508, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/bigquery-mlops/SKILL.md
- skills/bigquery-mlops/reference/feature-store-and-temporal-joins.md
- skills/bigquery-mlops/reference/model-registry-export-and-serving.md
- skills/bigquery-mlops/reference/monitoring-drift-and-evaluation.md
- skills/bigquery-mlops/reference/orchestration-and-pipelines.md
- skills/bigquery-mlops/skill.manifest.json
Every link opens the file at its source, pinned to the revision this page describes.