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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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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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Security
premium
Managed identity for data access
Managed identity for data access is the pattern of using a managed identity to let a workload read or write data without embedded secrets. Teams use it when pipelines, applications, jobs, or analytics services need secure access to storage, databases, or other data services. In plain English, it gives operators a named control for least-privilege data access, reduced secret exposure, and cleaner audit trails instead of leaving the decision hidden in a portal setting, script, or deployment file. Treat it as production-ready only when the owner, dependencies, permission boundary, monitoring signal, and rollback evidence are clear.
Data access security
intermediate
3 commands
Aliases: Managed identity for data access, Microsoft Entra ID, Data access security
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Security
field-manual-complete
Least privilege data access
Microsoft Learn describes least privilege as granting users and applications only the data and operations required to do their jobs. In Azure data access, that means scoped roles, managed identities, limited secrets, network controls, and reviewable permissions instead of broad owner-style access.
Data operations
intermediate
5 commands
Aliases: No aliases yet
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Security
field-manual-complete
Private Link for data services
Private Link for data services means your applications connect to databases, storage, and analytics services through private endpoints instead of public endpoints.
Data operations
intermediate
5 commands
Aliases: No aliases yet
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Monitoring and Observability
premium
Search service diagnostic logs
Search service diagnostic logs are Azure Monitor resource logs from Azure AI Search that record query, suggest, autocomplete, lookup, indexing, service statistics, and operational events. They are collected in Log Analytics or storage when diagnostic settings are enabled on the search service.
Data operations
intermediate
5 commands
Aliases: Azure AI Search logs, search resource logs, Microsoft.Search diagnostics, search operation logs, Search diagnostic settings
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Integration
premium
Built-in connector
A built-in connector is an Azure Logic Apps connector that runs natively with the Logic Apps runtime instead of through a separately hosted managed connector service.
Logic Apps
intermediate
4 commands
Aliases: No aliases yet
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Databases
premium
Cosmos DB role definition
Cosmos DB role definition means the built-in or custom set of Cosmos DB data-plane permissions that a role assignment can grant to an identity in Azure Cosmos DB. In plain English, it is the thing developers and operators check when they need to understand how data access really works. It connects the application model to defining readable and writable actions, separating metadata access from data operations, and standardizing application permissions. For a production team, it turns vague database talk into a specific thing to inspect in the portal, SDK code, templates, metrics, and incident notes.
Azure Cosmos DB
intermediate
4 commands
Aliases: No aliases yet
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Monitoring and Observability
premium
Diagnostic settings for storage
Diagnostic settings for storage route Azure Storage platform logs and metrics, including service-specific operations where supported, to destinations such as Log Analytics, Event Hubs, or Storage for investigation and compliance.
Data operations
intermediate
4 commands
Aliases: storage diagnostic settings, Azure Storage diagnostic settings, Storage account diagnostic settings, storage platform log routing
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Monitoring and Observability
premium
AI service diagnostic settings
AI service diagnostic settings are Azure Monitor settings on an Azure AI or Foundry Tools resource that route resource logs and platform metrics to destinations such as Log Analytics, Storage, or Event Hubs for investigation and retention.
Azure Monitor
intermediate
3 commands
Aliases: Azure AI diagnostic settings, Foundry Tools diagnostic logging, Cognitive Services diagnostic settings, AI resource logs
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Analytics
verified
Workflow Orchestration Manager
Workflow Orchestration Manager in Azure Data Factory is a managed Apache Airflow environment for authoring, scheduling, and monitoring DAG-based data workflows. It runs Airflow components for teams that need dependency-aware orchestration without building and maintaining their own Airflow infrastructure and monitoring controls.
Data engineering and analytics
intermediate
6 commands
Aliases: No aliases yet
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Integration
top-250-pre130-priority-upgraded
Logic App
A Logic App is an Azure Logic Apps resource or workflow that automates business and integration processes by connecting a trigger, actions, connectors, data operations, conditions, and monitoring so systems can exchange information without custom glue code everywhere in governed production environments.
Azure Logic Apps
fundamentals
4 commands
Aliases: Azure Logic Apps
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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
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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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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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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Storage
premium
Data Lake Gen2 endpoint
A Data Lake Gen2 endpoint is the DFS endpoint on a storage account used by Azure Data Lake Storage Gen2 APIs, ABFS URIs, and hierarchical namespace operations.
Data Lake Storage Gen2
intermediate
5 commands
Aliases: ADLS Gen2 endpoint, DFS endpoint, dfs.core.windows.net endpoint, Data Lake endpoint
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Analytics
premium
Trigger in Data Factory
In Azure Data Factory, a trigger determines when a pipeline run starts. Microsoft Learn describes manual, schedule, tumbling window, storage event, and custom event triggers; each carries timing, state, event, or dependency information that Data Factory uses to create pipeline runs.
Data integration
fundamentals
5 commands
Aliases: Data Factory trigger, ADF trigger, Azure Data Factory trigger, pipeline trigger in Data Factory
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AI and Machine Learning
premium
Azure AI Search data source
Azure AI Search data source is the connection definition an Azure AI Search indexer uses to read content from a supported external data store.
AI platform and search
intermediate
4 commands
Aliases: Search data source, SearchIndexerDataSourceConnection, data source connection, indexer data source, search data source connection
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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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AI and Machine Learning
premium
Data drift
A measurable change in production input data or feature distributions compared with the baseline data used to train or validate a model.
Model monitoring and MLOps
Intermediate
4 commands
Aliases: feature drift, input data drift, model data drift
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Security
premium
Data exfiltration control
A set of Azure controls that restrict, inspect, or approve where sensitive data can leave a workload, workspace, network, or tenant boundary.
Network and data protection
Intermediate
4 commands
Aliases: egress control, data exfiltration protection, approved outbound data boundary
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Analytics
premium
Data Factory connector
A built-in or configured integration capability that lets Data Factory read from or write to a supported data store, SaaS application, or service endpoint.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory connector, ADF connector, data factory connector
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Analytics
premium
Data Factory debug run
An interactive test execution used while authoring a Data Factory pipeline or data flow before publishing or triggering it in production.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory debug run, ADF debug run, data factory debug run
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Analytics
premium
Data Factory expression language
The syntax and function set used in Data Factory to build dynamic values, reference parameters, inspect activity output, and control pipeline behavior.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory expression language, ADF expression language, data factory expression language
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Analytics
premium
Data Factory Git integration
The source-control connection that lets Data Factory authoring use Azure Repos or GitHub branches instead of editing only the live factory mode.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory Git integration, ADF Git integration, data factory git integration
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Analytics
premium
Data Factory global parameter
A factory-level constant that pipelines can reference in expressions and that CI/CD can override per environment.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory global parameter, ADF global parameter, data factory global parameter
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Analytics
premium
Data Factory managed identity
The Microsoft Entra identity assigned to a Data Factory so pipelines and linked services can access Azure resources without embedded passwords.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory managed identity, ADF managed identity, data factory managed identity
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Analytics
premium
Data Factory managed virtual network
A Microsoft-managed network boundary used by Azure Integration Runtime to isolate data integration traffic and connect through managed private endpoints.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory managed virtual network, ADF managed virtual network, data factory managed virtual network
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Analytics
premium
Data Factory monitoring
The operational view of Data Factory pipeline runs, activity runs, trigger history, integration runtime health, metrics, logs, and alerts.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory monitoring, ADF monitoring, data factory monitoring
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Analytics
premium
Data Factory parameter
A read-only value passed into a Data Factory pipeline, dataset, linked service, or data flow so behavior can change at run time.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory parameter, ADF parameter, data factory parameter
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Analytics
premium
Data Factory private endpoint
A Private Link connection that exposes Data Factory or related data movement targets through a private IP address instead of a public network path.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory private endpoint, ADF private endpoint, data factory private endpoint
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Analytics
premium
Data Factory publish branch
The repository branch where Data Factory stores generated ARM templates after publishing from the collaboration branch.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory publish branch, ADF publish branch, data factory publish branch
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Analytics
premium
Data Factory variable
A mutable pipeline-scoped value that Data Factory activities can set and read during a pipeline run.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory variable, ADF variable, data factory variable
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Identity
premium
Log Analytics Data Reader
A Log Analytics Data Reader assignment is an Azure built-in RBAC role for letting approved users, groups, or workload identities query the Log Analytics logs they are allowed to view across workspaces and tables without granting workspace administration, table management, or broader monitoring control.
Azure RBAC
fundamentals
4 commands
Aliases: No aliases yet
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Databases
premium
MySQL database
MySQL database means a named database inside an Azure Database for MySQL server that stores application tables, users, routines, and data objects. You see it when developers create application data boundaries, run migrations, grant access, restore data, or separate tenant and service data. Think of it as the application data boundary inside the managed MySQL server. It matters because the setting changes how teams design, secure, operate, and troubleshoot the workload. Before changing it in production, know the owner, dependency, evidence, expected result, and rollback path.
Azure Database for MySQL
fundamentals
4 commands
Aliases: No aliases yet
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Databases
premium
Managed instance database
A managed instance database is a database hosted inside Azure SQL Managed Instance with managed platform operations and SQL Server compatibility features. Teams use it when a workload needs managed SQL operations while keeping instance-level features closer to SQL Server. In plain English, it gives operators a named control for database-level ownership, backup evidence, restore planning, and migration clarity within a managed instance instead of leaving the decision hidden in a portal setting, script, or deployment file. Treat it as production-ready only when the owner, dependencies, permission boundary, monitoring signal, and rollback evidence are clear.
Azure SQL Managed Instance
intermediate
3 commands
Aliases: Managed instance database, Azure SQL Managed Instance
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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 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 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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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
field-manual-complete
Synapse data explorer pool
A analytics platform concept in Synapse Analytics that helps teams move, transform, query, and govern data at scale with clearer ownership, safety, and operational context.
Synapse Analytics
fundamentals
6 commands
Aliases: Azure Synapse data explorer pool, Data Explorer pool, Kusto pool in Synapse, Synapse Kusto pool, Synapse data explorer pool, legacy Synapse Data Explorer, synapse data explorer pool, synapse-data-explorer-pool
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