Aident logoAident logo centerAident Loadout
Use CasesPricingDocs
ENStart Now
AppsDatabricks ToolsDatabricks Dataquality Data Quality Create Monitor
Databricks Tools

Databricks Dataquality Data Quality Create Monitor

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…

Write actionRisk level 2 of 5
Aident logo

Product

Aident LoadoutAident Playbook EditorOpen-CUAK

About

AppsSkillsUse CasesDocsBlogPricingDownloadsPrivacy PolicyTerms of Service

Alternatives

vs Composiovs Zapier
llms.txtGet an AI summary of Aident LoadoutSummarize with ChatGPTSummarize with ClaudeSummarize with GeminiSummarize with Perplexity

© Aident Labs, 2024-2026

API key connection
Use Databricks Dataquality Data Quality Create Monitor

Pricing and limits

Pricing
Free
Unified payment
Not currently supported

Inputs

  • scheduleobject
    Schedule configuration for auto-refresh.
  • snapshotobject
    Snapshot table monitoring configuration. Use empty object for snapshot monitoring.
  • assets_dirstring
    Required
    Absolute path to directory for storing monitoring assets (e.g., /Workspace/Users/{user}/databricks_lakehouse_monitoring/{catalog}.{schema}.{table_name})
  • table_namestring
    Required
    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
    Required
    Schema for output metric tables in format {catalog}.{schema}
  • baseline_table_namestring
    Baseline table for drift metrics. Must match monitored table schema.

Observable output

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

Skills that use this Action

Related use cases

No verified related use cases are linked yet.

Official source

Provider source

Skills that use this Action

No published Skills explicitly reference this Action yet.