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AppsDatabricks ToolsDatabricks Dataquality Data Quality Create Monitor

Databricks Tools

Databricks Dataquality Data Quality Create Monitor

Utilisez Databricks Dataquality Data Quality Create Monitor avec Databricks Tools via Aident Loadout. Vérifiez les entrées, sorties, la configuration, le tarif et le risque avant exécution.

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Utiliser Databricks Dataquality Data Quality Create Monitor

Description du fournisseur

Tool to create a data quality monitor for a Unity Catalog Delta table. Use when you need to set up monitoring for table quality, track data drift, or monitor ML model inference logs. Supports snapshot, time series, and inference log monitoring types. Only one monitor can be crea…

Tarifs et limites

Tarif: Action gratuite
Paiement unifié: Non pris en charge actuellement

Entrées

scheduleobject
Schedule configuration for auto-refresh.
snapshotobject
Snapshot table monitoring configuration. Use empty object for snapshot monitoring.
assets_dirstring
Obligatoire
Absolute path to directory for storing monitoring assets (e.g., /Workspace/Users/{user}/databricks_lakehouse_monitoring/{catalog}.{schema}.{table_name})
table_namestring
Obligatoire
Fully qualified Unity Catalog table name in format {catalog}.{schema}.{table_name}. Must be a managed or external Delta table.
time_seriesobject
Time series monitoring configuration.
warehouse_idstring
Warehouse ID for dashboard creation
inference_logobject
Inference log monitoring configuration for ML models.
notificationsobject
Notification settings for quality monitor.
slicing_exprsarray
Column expressions for data slicing
custom_metricsarray
Custom metric definitions
output_schema_namestring
Obligatoire
Schema for output metric tables in format {catalog}.{schema}
baseline_table_namestring
Baseline table for drift metrics. Must match monitored table schema.

Sortie observable

data
Obligatoire
Data from the action execution
errorstring
Error if any occurred during the execution of the action
successfulboolean
Obligatoire
Whether or not the action execution was successful or not

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