ML.TFDV_VALIDATE

Related topics

• ML.TFDV_VALIDATE is part of BigQuery From the official documentation: “Vertex AI Feature Store compares the snapshots from consecutive feature monitor job executions and calculates drifts using [the ML.TFDV_VALIDATE function in BigQuery](/bigquery/docs/reference/standard-sql/bigqueryml-syntax-tfdv-validate).”
• Vertex AI Feature Store depends on ML.TFDV_VALIDATE From the official documentation: “Vertex AI Feature Store compares the snapshots from consecutive feature monitor job executions and calculates drifts using [the ML.TFDV_VALIDATE function in BigQuery](/bigquery/docs/reference/standard-sql/bigqueryml-syntax-tfdv-validate).”
• BigQuery works with Knowledge Catalog From the official documentation: “Some Knowledge Catalog functionalities trigger job execution using BigQuery.”
• BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
• BigQuery works with Vertex AI Feature Store From the official documentation: “In the new Vertex AI Feature Store, BigQuery serves as the offline store.”
• Data Catalog is an alternative to Knowledge Catalog From the official documentation: “Use Knowledge Catalog for all new projects to take advantage of AI-powered features and enhanced governance.”
• Data Catalog is part of Knowledge Catalog From the official documentation: “Knowledge Catalog features”
• BigQuery works with Data Catalog From the official documentation: “The instructions in this page use both BigQuery and Data Catalog.”
• BigQuery works with Bigtable online serving From the official documentation: “If you want to use continuous data sync to sync data from the BigQuery data source to your feature views in near real-time, use Bigtable online serving.”
• Bigtable online serving is part of Vertex AI Feature Store From the official documentation: “In this tutorial, you learn how to use Bigtable online serving in Vertex AI Feature Store for online serving and fetching of feature values in BigQuery.”
• Cloud Monitoring works with Knowledge Catalog From the official documentation: “Knowledge Catalog is integrated with Cloud Monitoring, which collects metrics, events, and metadata from Knowledge Catalog services.”
• Cloud Monitoring works with Vertex AI Feature Store From the official documentation: “In Cloud Monitoring, the monitored resource type for an online store instance is [`aiplatform.googleapis.com/FeatureOnlineStore`](/monitoring/api/resources#tag_aiplatform.googleapis.com/FeatureOnlineStore).”
• Data Catalog works with Vertex AI Feature Store From the official documentation: “Data Catalog catalogs metadata from Vertex AI Feature Store resources.”
• Knowledge Catalog works with Vertex AI Feature Store From the official documentation: “Knowledge Catalog is also integrated with Vertex AI Feature Store, offering similar capabilities.”