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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
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 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
Event trigger
An Event trigger starts an Azure Data Factory or Synapse pipeline in response to supported storage events such as blob creation or deletion. Teams use it to start pipelines automatically when files land, folders change, or storage events indicate that a data integration workflow should run. It is not a scheduled trigger, a tumbling-window trigger, an Event Hubs consumer, or a guarantee that the file is complete and ready for every downstream transformation. In production, confirm factory name, trigger state, storage scope, blob path filters, event type, target pipeline, parameter mapping, managed identity access, publish branch state, and run history.
Data Factory
intermediate
6 commands
Aliases: storage event trigger, Data Factory event trigger, event-based trigger
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Analytics
premium
Execute Pipeline activity
The Execute Pipeline activity lets an Azure Data Factory or Synapse pipeline invoke another pipeline as part of a control-flow workflow. Teams use it to compose reusable parent and child pipelines, pass parameters, and control whether the parent waits for the child pipeline to finish. It is not a copy activity, a trigger, a stored procedure call, or a guarantee that child pipelines share variables or error handling automatically. In production, confirm parent pipeline, child pipeline, parameter map, wait-on-completion setting, activity output, run IDs, failure policy, publish branch, and monitoring evidence for both runs before treating the design as.
Data integration
intermediate
6 commands
Aliases: Execute Pipeline, child pipeline activity, pipeline invocation activity
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Analytics
premium
Activity run
Activity run is the execution record for one Azure Data Factory or Synapse pipeline activity during a specific pipeline run. In everyday Azure work, teams use it to pinpoint which step ran, failed, retried, timed out, or produced unexpected output. The useful evidence is run ID, activity name, type, start time, duration, status, error message,
Data Factory monitoring
intermediate
4 commands
Aliases: Data Factory activity run, Synapse activity run, pipeline activity execution
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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
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
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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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 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 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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Storage
premium
Data Lake ingestion zone
A Data Lake ingestion zone is the controlled landing area where source data first arrives before validation, transformation, enrichment, or publication.
Data Lake Storage Gen2
fundamentals
5 commands
Aliases: landing zone, raw ingestion zone, lake landing area, ingest zone
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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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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 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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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
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
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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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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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
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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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 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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Analytics
premium
Data flow debug cluster
The live Spark cluster started for a mapping data flow debug session so designers can preview data and run transformation logic interactively.
Data Factory
Intermediate
5 commands
Aliases: No aliases yet
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Analytics
premium
Data flow debug session
The active design-time session that keeps data flow debug compute available for previewing transformations, expressions, and pipeline debug activity behavior.
Data Factory
Intermediate
5 commands
Aliases: No aliases yet
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Analytics
premium
Data flow sink
The mapping data flow transformation that writes processed rows to a target dataset, table, file path, or inline destination at the end of a flow branch.
Data Factory
Intermediate
5 commands
Aliases: No aliases yet
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Analytics
premium
Data flow source
The mapping data flow transformation that reads input rows from a dataset or inline source before downstream transformations reshape the data.
Data Factory
Intermediate
5 commands
Aliases: No aliases yet
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Analytics
premium
Data flow transformation
A visual operation in a mapping data flow that changes, filters, joins, aggregates, derives, routes, or otherwise reshapes rows between source and sink.
Data Factory
Intermediate
5 commands
Aliases: No aliases yet
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Storage
premium
Data Lake directory
A directory in Azure Data Lake Storage Gen2 is a hierarchical namespace path segment that can contain files and child directories and can have access controls applied.
Data Lake Storage Gen2
fundamentals
5 commands
Aliases: ADLS directory, Data Lake folder, Gen2 directory, lake folder
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Storage
premium
Data Lake filesystem
Data Lake filesystem is the compact API and CLI naming for the ADLS Gen2 file-system resource that contains directories and files.
Data Lake Storage Gen2
fundamentals
5 commands
Aliases: filesystem, ADLS filesystem, storage fs, Azure storage fs
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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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Storage
premium
Data Lake gold layer
The Data Lake gold layer is the business-ready medallion layer where curated, aggregated, and governed data is published for analytics, reporting, and decision support.
Medallion lakehouse architecture
intermediate
5 commands
Aliases: gold layer, gold zone, curated business layer, trusted reporting layer
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