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Analytics
premium
Azure Databricks Unity Catalog
A unified governance layer in Azure Databricks for data and AI assets, including catalogs, schemas, tables, volumes, models, privileges, and lineage.
Data governance
intermediate
5 commands
Aliases: Unity Catalog
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Management and Governance
premium
Data catalog
Data catalog is a governed inventory of data assets, metadata, business context, ownership, lineage, and access signals used to help people find and understand data.
Data governance
intermediate
4 commands
Aliases: Data catalog
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Management and Governance
premium
Data classification
Data classification is the practice of assigning logical labels or classes to data assets so teams understand sensitivity, business meaning, and handling requirements.
Data governance
intermediate
4 commands
Aliases: Data classification
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Management and Governance
premium
Data lineage
Metadata that describes how data moves and transforms across systems.
Data governance
advanced
4 commands
Aliases: No aliases yet
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Analytics
top-250-pre130-priority-upgraded
Databricks Unity Catalog
Databricks Unity Catalog is the centralized governance layer in Azure Databricks for managing data and AI asset metadata, permissions, lineage, discovery, and workspace access relationships.
Databricks
intermediate
5 commands
Aliases: Unity Catalog in Azure Databricks, Azure Databricks Unity Catalog, governed catalog, Databricks data governance
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Analytics
premium
Synapse SQL
Synapse SQL is the T-SQL analytics capability in Azure Synapse Analytics. It includes dedicated SQL pools for provisioned warehousing and serverless SQL pools for on-demand lake queries, letting teams analyze structured and semi-structured data through familiar SQL endpoints inside a Synapse workspace.
Synapse Analytics
intermediate
7 commands
Aliases: Synapse SQL engine, Azure Synapse SQL, Synapse serverless and dedicated SQL, SQL analytics in Synapse
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AI and Machine Learning
premium
Feature store
A Feature store is a managed repository for machine learning features that lets teams discover, reuse, secure, monitor, and serve consistent feature values for training and inference. Teams use it to keep model features consistent between experimentation, batch training, and production inference instead of letting every team rebuild the same transformations differently. It is not a raw data lake, model registry, dashboard catalog, replacement for data governance, or guarantee that features are unbiased, fresh, or useful for every model.
Azure Machine Learning
intermediate
6 commands
Aliases: Azure Machine Learning feature store, managed feature store, ML feature repository, feature registry
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AI and Machine Learning
premium
Health Insights
Health Insights is Azure AI capabilities that help healthcare applications extract, reason over, or summarize clinical information for approved medical workflows.
Azure AI Health Insights
intermediate
4 commands
Aliases: Azure AI Health Insights, Azure Health Insights, Health Insights, health-insights
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Management and Governance
premium
Microsoft Purview account
Microsoft Purview account is the Azure resource boundary for Microsoft Purview data governance, catalog, scanning, classification, lineage, and policy workflows. Teams should manage it with clear ownership, monitoring, rollback evidence, and production change discipline.
Data governance
intermediate
4 commands
Aliases: Purview account, Microsoft Purview governance account, Azure Purview account
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Storage
premium
Azure Storage Discovery
Azure Storage Discovery is a fully managed service that provides enterprise-wide visibility into Azure Blob Storage and Azure Data Lake Storage estates for analysis, optimization, security, and operations.
Storage platform
intermediate
3 commands
Aliases: No aliases yet
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Analytics
field-manual-complete
Unity Catalog
Unity Catalog is Azure Databricks’ unified governance layer for data and AI assets. It centralizes access control, auditing, lineage, discovery, and classification across workspaces so teams can govern tables, views, volumes, functions, and models through a shared metastore and three-level namespace.
Azure Databricks
intermediate
5 commands
Aliases: Databricks Unity Catalog, Azure Databricks Unity Catalog, unified governance layer, Unity Catalog metastore
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Analytics
learning-path-anchor
Databricks metastore
The top-level Unity Catalog container for catalogs, schemas, tables, volumes, models, functions, and governance permissions.
Databricks
intermediate
4 commands
Aliases: Unity Catalog metastore, Databricks Unity Catalog metastore, metastore
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Analytics
learning-path-anchor
Databricks MLflow
The managed MLflow experience in Azure Databricks for experiments, runs, metrics, artifacts, model lineage, and MLOps evidence.
Databricks
fundamentals
4 commands
Aliases: MLflow on Databricks, Databricks experiment tracking, MLflow tracking
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Analytics
learning-path-anchor
Databricks schema
A Unity Catalog namespace under a catalog that groups tables, views, volumes, models, functions, and permissions.
Databricks
fundamentals
4 commands
Aliases: Unity Catalog schema, Databricks database schema, schema in Unity Catalog
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Storage
learning-path-anchor
Data Lake storage account
A storage feature or access model in Data Lake Storage Gen2 that helps teams store, protect, move, and govern application or analytics data with clearer ownership, safety, and operational context.
Data Lake Storage Gen2
advanced
19 commands
Aliases: No aliases yet
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Analytics
premium
Databricks access connector
A first-party Azure resource that gives Azure Databricks a managed identity for Unity Catalog storage credentials and other governed service access.
Azure Databricks
intermediate
6 commands
Aliases: Access Connector for Azure Databricks, Azure Databricks access connector, Databricks managed identity connector
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Analytics
premium
Databricks catalog
The top-level Unity Catalog namespace that organizes schemas, tables, views, volumes, models, functions, permissions, lineage, and governed data ownership.
Azure Databricks
fundamentals
6 commands
Aliases: Unity Catalog catalog, Azure Databricks catalog, catalog object
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Analytics
premium
Databricks cluster policy
A Databricks governance object that limits which cluster settings users can choose, helping control cost, security, runtime consistency, and workload standards.
Azure Databricks
intermediate
6 commands
Aliases: Databricks compute policy, cluster policy, compute policy
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Analytics
premium
Databricks DBFS
The Databricks file-system abstraction behind dbfs:/ paths, useful for workspace files and legacy mounts but carefully governed alongside Unity Catalog.
Azure Databricks
fundamentals
6 commands
Aliases: DBFS, Databricks File System, dbfs:/
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Analytics
premium
Azure Databricks
A unified, open analytics platform on Azure for building, deploying, sharing, and maintaining enterprise data, analytics, and AI solutions at scale.
Data engineering and AI
intermediate
5 commands
Aliases: Databricks on Azure
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Analytics
premium
Databricks workspace
A Databricks workspace is the Azure resource and collaborative environment where teams create and operate notebooks, jobs, clusters, SQL warehouses, repositories, experiments, and governed data access.
Analytics platform
beginner
5 commands
Aliases: Azure Databricks workspace, Databricks workspace resource, workspace resource, Databricks environment
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Management and Governance
premium
Azure data plane
The Azure data plane is the part of Azure you use after a resource exists, when you interact with the capability that resource provides. Microsoft Learn anchors this term in Azure control plane and data plane, but this field-manual definition is intentionally wider than an older short glossary entry because the page must teach what to inspect, what can break, who owns the decision, and which evidence proves the Azure environment is behaving as intended. In field use, start with the technical boundary: Technically, data-plane operations are service-specific operations against.
Azure Resource Manager
fundamentals
4 commands
Aliases: No aliases yet
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Security
premium
Data classification tag
A tag or catalog label that marks the sensitivity, owner, regulatory handling, or business classification of an Azure resource or dataset.
Data protection and governance
Intermediate
4 commands
Aliases: classification tag, sensitivity tag, data sensitivity tag, confidentiality tag
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Monitoring and Observability
premium
Database diagnostic settings
Azure Monitor routing rules that export database logs and metrics to Log Analytics, Storage, Event Hubs, or partner destinations for investigation and governance.
Azure Monitor
intermediate
4 commands
Aliases: SQL diagnostic settings, database diagnostics export, Azure Monitor diagnostic settings for databases
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Analytics
learning-path-anchor
Databricks model serving
A managed serving endpoint pattern for exposing Databricks models or AI workloads for online inference with operational controls.
Databricks
intermediate
4 commands
Aliases: Databricks Model Serving, serving endpoint, model serving endpoint
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Analytics
learning-path-anchor
Databricks notebook
A collaborative Azure Databricks document for code, SQL, visualizations, exploration, jobs, and ML workflows attached to compute.
Databricks
fundamentals
4 commands
Aliases: Azure Databricks notebook, Databricks workspace notebook, interactive notebook
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Analytics
learning-path-anchor
Databricks Photon
The native vectorized Azure Databricks engine for accelerating eligible SQL, DataFrame, ETL, and streaming workloads.
Databricks
intermediate
4 commands
Aliases: Photon engine, Photon acceleration, Databricks vectorized engine
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Analytics
learning-path-anchor
Databricks repo
A workspace Git integration, now called Git folders, for versioning notebooks and files used in Databricks development and CI/CD.
Databricks
fundamentals
4 commands
Aliases: Databricks Repos, Databricks Git folder, Azure Databricks Git folders, workspace Git folder
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Analytics
learning-path-anchor
Databricks secret scope
A named Databricks collection of secrets used to store credentials and grant controlled read or manage access to workloads.
Databricks
fundamentals
4 commands
Aliases: Databricks secrets scope, secret scope, Azure Databricks secrets
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Analytics
learning-path-anchor
Databricks SQL warehouse
A Databricks SQL compute resource for interactive queries, dashboards, BI tools, and governed analytics workloads.
Databricks
intermediate
4 commands
Aliases: SQL warehouse, Databricks SQL compute, serverless SQL warehouse
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Analytics
learning-path-anchor
Databricks table
A governed Databricks data object, commonly managed, external, or foreign, queried through Unity Catalog and optimized for analytics.
Databricks
fundamentals
4 commands
Aliases: Unity Catalog table, Delta table in Databricks, Databricks managed table
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AI and Machine Learning
command-rich
Data source in AI Search
Data source in AI Search is documented by Microsoft as part of the Azure AI Search area in Azure.
Azure AI Search
intermediate
6 commands
Aliases: No aliases yet
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Analytics
premium
Change data capture in Data Factory
A Data Factory capability for processing changed data from supported sources.
Data integration
intermediate
10 commands
Aliases: CDC
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Analytics
premium
Databricks job
A scheduled or triggered Databricks workflow that runs one or more tasks using configured compute, parameters, retries, notifications, and access controls.
Azure Databricks
fundamentals
7 commands
Aliases: Databricks workflow job, Lakeflow Job, Databricks Jobs
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Analytics
premium
Data Factory
Azure’s managed data integration service for creating pipelines that move, transform, schedule, and orchestrate data across cloud, SaaS, and hybrid stores.
Data integration and orchestration
Intermediate
6 commands
Aliases: Data Factory, Data Factory, data factory
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Storage
premium
Data Lake analytics workload
A production analytics workload that stores, transforms, governs, and serves large data sets from a data lake using Azure services such as ADLS Gen2, Data Factory, Databricks, Synapse, or Fabric.
Data Lake Storage
Intermediate
6 commands
Aliases: No aliases yet
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Storage
premium
Data Lake bronze layer
The raw ingestion layer in a lakehouse or medallion architecture where source data first lands with minimal transformation and strong traceability.
Data Lake Storage Gen2
Intermediate
6 commands
Aliases: No aliases yet
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Storage
premium
Data Lake curated zone
The governed, consumer-ready area of a data lake where cleaned, conformed, and documented datasets are served for reporting, analytics, AI, or downstream applications.
Data Lake Storage Gen2
Intermediate
6 commands
Aliases: No aliases yet
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Analytics
premium
Databricks cluster
A Databricks compute resource that runs notebooks, jobs, libraries, Spark workloads, and data processing tasks using configured runtime, workers, policies, and access controls.
Azure Databricks
fundamentals
6 commands
Aliases: Databricks compute, Azure Databricks compute cluster, classic cluster
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Analytics
premium
Databricks managed resource group
The Azure resource group created or referenced for Databricks-managed infrastructure that supports a workspace and its classic compute resources.
Azure Databricks
intermediate
6 commands
Aliases: managed resource group, Azure Databricks managed resource group, workspace managed resource group
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Analytics
premium
External data source
An External data source is a database object that defines the location and connection information used by SQL engines to access external data. Teams use it to point serverless SQL, dedicated SQL pools, or PolyBase-style queries to data stored outside the database, such as Azure Storage or Data Lake paths. It is not the external table schema, the file format definition, the storage account itself, or proof that the credential can read every file under the path.
Synapse SQL and data virtualization
intermediate
6 commands
Aliases: CREATE EXTERNAL DATA SOURCE, PolyBase external data source, Synapse external data source
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Analytics
premium
Azure Data Explorer
A fully managed, high-performance analytics service for near-real-time analysis of large telemetry, log, event, and time-series datasets.
Real-time analytics
intermediate
5 commands
Aliases: ADX, Kusto
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Databases
premium
Azure Database for MySQL Flexible Server
A fully managed Azure database service for MySQL workloads with configurable compute, storage, backups, networking, maintenance, and high availability options.
Managed MySQL
intermediate
5 commands
Aliases: MySQL Flexible Server
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Databases
premium
Azure Database for PostgreSQL Flexible Server
A fully managed Azure PostgreSQL service with configurable compute, storage, backups, networking, maintenance, extensions, and high availability options.
Managed PostgreSQL
intermediate
5 commands
Aliases: PostgreSQL Flexible Server
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Databases
premium
Azure SQL Database
Azure SQL Database is a fully managed relational database service in Azure that provides SQL Server-compatible engines as single databases, elastic pools, and serverless or provisioned compute choices. Microsoft Learn presents it as platform as a service with built-in availability, backups, patching, scaling, and security integration.
Database
intermediate
5 commands
Aliases: Azure SQL DB, Azure SQL Database, Azure SQL pooled database, Azure SQL single database, SQL Database
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Databases
premium
Azure SQL database copy
Azure SQL database copy creates a transactionally consistent copy of an Azure SQL Database using portal, PowerShell, Azure CLI, or Transact-SQL.
Azure SQL Database
fundamentals
5 commands
Aliases: Azure SQL copy, Azure SQL database copy, CREATE DATABASE AS COPY OF, SQL database copy, database copy
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Databases
premium
Azure SQL Database DTU model
Azure SQL Database DTU model is a purchasing model that bundles compute, storage, and I/O resources into Database Transaction Units for Basic, Standard, and Premium tiers.
Azure SQL Database
fundamentals
5 commands
Aliases: Azure SQL Database DTU model, DTU model, DTU-based purchasing model, Database Transaction Unit, eDTU
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Analytics
premium
Data Factory pipeline
A logical grouping of Data Factory activities that performs a coordinated data movement, transformation, or control-flow process.
Data integration and orchestration
Intermediate
5 commands
Aliases: Data Factory pipeline, ADF pipeline, data factory pipeline
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Analytics
premium
Data flow cluster
The managed Spark compute that Azure Data Factory or Synapse uses to execute a mapping data flow during a debug session or scheduled pipeline run.
Data Factory
Intermediate
5 commands
Aliases: No aliases yet
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Analytics
premium
Data flow debug
An interactive mapping data flow mode that lets designers preview transformed data and expression results by using an active Spark debug session.
Data Factory
Intermediate
5 commands
Aliases: No aliases yet
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