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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
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
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
premium
Dataset parameter
A dataset parameter is a named value on a Data Factory or Synapse dataset that lets pipelines pass runtime information such as folder, file, schema, table, or partition values into a reusable dataset definition.
Data engineering and analytics
intermediate
5 commands
Aliases: ADF dataset parameter, Data Factory dataset parameter, parameterized dataset, dataset runtime value
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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
command-rich
Watermark column
In Azure Data Factory incremental copy patterns, a watermark column is a source column, often a last-modified timestamp or increasing key, used to identify rows created or changed since the previous run. The maximum value becomes the next stored watermark.
Data engineering and analytics
intermediate
5 commands
Aliases: incremental copy watermark column, high watermark column, delta load column, LastModified watermark
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Analytics
premium
Azure-SSIS IR
Azure-SSIS IR is the Azure integration runtime option that supports deploying, managing, and running SQL Server Integration Services packages in Azure Data Factory or Synapse pipelines.
Data engineering and analytics
intermediate
5 commands
Aliases: Azure SSIS IR, Azure-SSIS integration runtime abbreviation
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Analytics
verified
OPENROWSET
OPENROWSET is a Transact-SQL table-valued function that makes ad hoc external data available as rows. Depending on platform and options, it can access remote data sources or files, including CSV, Parquet, JSON-lines, Blob Storage, Data Lake Storage, and Fabric OneLake locations.
Data engineering and analytics
intermediate
7 commands
Aliases: OPENROWSET, OPENROWSET function, T-SQL OPENROWSET, ad hoc rowset, OPENROWSET BULK
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Analytics
field-manual-complete
Kusto table policy
A Kusto table policy is a management setting on a table that controls behavior such as retention, caching, update processing, ingestion batching, restricted view access, row-level security, or other operational rules supported by Azure Data Explorer and Fabric for governed analytics workloads.
Data engineering and analytics
intermediate
6 commands
Aliases: No aliases yet
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Analytics
field-manual-complete
Linked service parameter
Microsoft Learn explains that linked services can be parameterized so values are passed dynamically at run time. Parameterization lets one linked service connect to different databases or endpoints, while secrets should stay in Azure Key Vault instead of parameters.
Data engineering and analytics
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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Analytics
verified
Publish branch
A publish branch is the output branch for an Azure Data Factory Git-connected workspace.
Data engineering and analytics
intermediate
5 commands
Aliases: No aliases yet
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Analytics
template-specs-upgraded
Result set caching
Microsoft Learn describes result set caching in Azure Synapse dedicated SQL pool as a database and session feature that stores eligible query results for repeated use. Matching queries can read persisted cached results instead of recomputing, reducing compute work, resource usage, and concurrency-slot pressure.
Synapse dedicated SQL pool
intermediate
5 commands
Aliases: result set caching, Synapse result set caching, dedicated SQL pool result cache, cached query results
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Analytics
premium field-manual
Managed private endpoint
A managed private endpoint is a private endpoint created inside a managed virtual network so a managed service can reach another Azure resource privately. Teams use it when data pipelines or analytics workspaces need private connectivity to storage, databases, or other services. In plain English, it gives operators a named control for reduced public exposure and clearer approval evidence for managed service connectivity 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 engineering and analytics
intermediate
4 commands
Aliases: Managed private endpoint, Azure Data Factory, Data engineering and analytics, Azure Data Factory and Azure Synapse Analytics, Data Factory and Synapse networking, Managed virtual networking, private endpoint, linked service, managed virtual network, Managed virtual networks, MPE, managed endpoint for Private Link, Azure Data Factory and Azure Synapse managed virtual networks
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Analytics
premium field-manual
Materialized view
A materialized view is a stored, continuously maintained result of a query that precomputes data for faster analytics access. Teams use it when teams repeatedly query the same summarized or transformed data and need lower query cost or latency. In plain English, it gives operators a named control for faster analytics, lower repeated query work, and clearer ownership of precomputed results 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 Data Explorer and Kusto
intermediate
4 commands
Aliases: Materialized view, ADX materialized view, Kusto materialized view, precomputed view, read model, materialized query result, precomputed analytical view, Azure Data Explorer and Kusto
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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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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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Analytics
field-manual-complete
Stream Analytics reference data
Stream Analytics reference data is the lookup table your stream uses while events are flowing. Instead of sending every business attribute inside each event, you keep stable or slowly changing information separately, such as device metadata, route codes, tariff bands, or product categories. The query joins live events to that reference set and produces richer output. The key idea is simple: events tell you what happened now, while reference data explains what that event means in the business context your operators care about.
Streaming analytics
intermediate
5 commands
Aliases: Azure Stream Analytics reference data, reference data input, ASA reference data, lookup data for Stream Analytics
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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
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
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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Analytics
field-manual-complete
Stream Analytics no-code editor
The Stream Analytics no-code editor is a visual way to build a streaming job without typing the query yourself. You connect supported inputs, shape the data with drag-and-drop transformations, preview records, and choose outputs. Azure then creates a Stream Analytics job behind the experience. It is useful for analysts, platform teams, and engineers who need a quick, governed pipeline but do not want every small stream-processing task to become custom code. It still needs engineering review before production.
Stream Analytics
intermediate
5 commands
Aliases: Stream Analytics no-code editor, ASA no-code editor, no-code Stream Analytics, drag-and-drop Stream Analytics editor, Stream Analytics visual editor
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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
Azure Synapse Analytics
Azure Synapse Analytics is Microsoft’s integrated analytics service for enterprise data warehousing, big data, data integration, and exploratory analytics.
Synapse Analytics
intermediate
6 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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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 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
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 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
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 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 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 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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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 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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