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Models

Models in Unity Catalog: versions, aliases, promotion across environments.

GenAI Engineer ML Associate Machine Learning

Concepts

3 in this area
  1. 1Models in Unity CatalogModels in Unity Catalog is the model registry built into Unity Catalog: a trained model, logged during an MLflow run (see mlflow tracking), gets registered under a three-level name — catalog.schema.model — exactly like a table. Each time you register against…
  2. 2MLflow deployment jobsA deployment job is an ordinary Lakeflow job that a registered model in models in uc points at. Register a new version of that model and the job runs, with the version's name and number handed to it as parameters. The conventional shape is three tasks…
  3. 3Monitoring a deployed modelMonitoring a deployed model on Databricks is not a separate product. It is the same data profiling feature that watches tables, described in data quality monitoring, pointed at a table whose rows happen to be model requests. You choose the InferenceLog…

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Resources

Create a data profile using the APIDocumentation · DatabricksFreeData profiling metric tablesDocumentation · DatabricksFreeUse custom metrics with data profilingDocumentation · DatabricksFreeMonitor fairness and bias for classification modelsDocumentation · DatabricksFreeData profiling dashboardDocumentation · DatabricksFreeProfile alertsDocumentation · DatabricksFreeMLflow 3 deployment jobsDocumentation · DatabricksFreeManage model lifecycle in Unity CatalogDocumentation · Databricks · checked 10 Sept 2026Free