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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
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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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 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 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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Analytics
top-250-pre130-priority-upgraded
Data Factory activity
Data Factory activity is a unit of work inside an Azure Data Factory pipeline, such as copy, lookup, notebook, stored procedure, web, or data-flow execution in Azure.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory activity, ADF activity, data factory activity
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Analytics
premium
Databricks workflow
A Databricks workflow is a scheduled or triggered orchestration of tasks in Azure Databricks, commonly managed through Lakeflow Jobs, for running notebooks, SQL, pipelines, scripts, and production data workloads.
Data engineering and analytics
intermediate
5 commands
Aliases: Databricks Jobs workflow, Lakeflow Jobs workflow, Databricks scheduled workflow, Databricks orchestration
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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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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
field-manual-complete
Self-hosted integration runtime
A self-hosted integration runtime is an agent you install on a server or virtual machine that can reach private data sources.
Data Factory
intermediate
4 commands
Aliases: SHIR, self-hosted IR, Data Factory self-hosted runtime
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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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Web
premium
App Service VNet integration
Microsoft Learn describes App Service virtual network integration as the feature that lets an App Service app access resources in or through an Azure virtual network. It affects outbound traffic from the app; inbound private access uses other controls, such as private endpoints and access restrictions.
App Service Networking
intermediate
5 commands
Aliases: App Service virtual network integration, regional VNet integration, Web App VNet integration
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Analytics
premium
Azure integration runtime
Azure integration runtime is the compute infrastructure used by Azure Data Factory and Synapse pipelines to move data, dispatch activities, and connect across network environments.
Data integration compute
intermediate
5 commands
Aliases: Integration Runtime, IR, ADF integration runtime
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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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Analytics
premium
Azure-SSIS integration runtime
Azure-SSIS integration runtime is Azure Data Factory or Azure Synapse compute that lets organizations deploy, run, and manage SQL Server Integration Services packages in Azure.
Data Factory
intermediate
5 commands
Aliases: Azure SSIS integration runtime, Azure-SSIS IR
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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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Analytics
premium
Dataset
A dataset is a logical description of data used by analytics or integration services; in Azure Data Factory and Synapse pipelines, it describes the data structure, location, and linked service used by activities.
Data integration
beginner
5 commands
Aliases: data set, logical dataset, pipeline dataset, data reference
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Analytics
premium
Dataset in Data Factory
A dataset in Data Factory is a named JSON definition that describes the data an activity reads or writes, including the linked service, dataset type, path, table, schema, parameters, and annotations.
Data Factory
beginner
5 commands
Aliases: ADF dataset, Azure Data Factory dataset, Data Factory dataset definition, Synapse dataset
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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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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
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 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
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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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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Analytics
field-manual-complete
Synapse dataset
A data structure referenced by Synapse pipelines.
Data engineering and analytics
intermediate
5 commands
Aliases: Azure Synapse dataset, Azure Synapse dataset JSON, Synapse dataset, dataset linked service, integration dataset, pipeline dataset, synapse dataset, synapse-dataset
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Analytics
verified
Wrangling data flow
A wrangling data flow in Azure Data Factory uses Power Query Online to build code-free data preparation logic, then translates the generated Power Query M into Data Flow execution for cloud-scale processing inside pipelines and repeatable scheduled integration workflows at scale.
Data Factory
fundamentals
5 commands
Aliases: ADF wrangling data flow, Power Query data flow, Data Factory data wrangling, Power Query in ADF
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Analytics
complete
SSIS integration runtime
Microsoft Learn describes Azure-SSIS integration runtime as managed compute in Azure Data Factory or Synapse pipelines for running SQL Server Integration Services packages. It lets teams lift and run SSIS workloads in Azure while connecting to SSISDB, data stores, networks, and package dependencies.
Data integration
intermediate
5 commands
Aliases: Azure-SSIS integration runtime, Azure SSIS IR, SSIS IR, SQL Server Integration Services runtime in Azure
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Analytics
top-250-pre130-priority-upgraded
Integration runtime
Integration runtime controls which compute, region, and network path data integration workloads use when moving data or executing pipeline activities.
Data Factory
intermediate
4 commands
Aliases: ADF integration runtime, Azure integration runtime, self-hosted integration runtime, SSIS integration runtime, IR, Azure Data Factory integration runtime
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Analytics
premium field-manual
Mapping data flow
A mapping data flow is a visual data transformation flow that runs Spark-based transformations without requiring hand-written Spark code. Teams use it when data teams need to transform, join, clean, or reshape data in pipelines using a design canvas. In plain English, it gives operators a named control for governed transformation logic, reusable pipeline steps, and clearer data movement evidence 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 Factory
intermediate
4 commands
Aliases: Mapping data flow, Azure Data Factory, Data Factory, Azure Data Factory and Synapse pipelines, copy activity, wrangling data flow, pipeline activity, ADF mapping data flow, visual data flow
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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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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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