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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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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
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
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
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
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
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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Analytics
premium
Databricks workspace Private Link
Databricks workspace Private Link is the Azure Private Link configuration that provides private connectivity paths to Azure Databricks workspace resources and related Databricks services without exposing traffic to the public internet.
Azure Databricks
advanced
5 commands
Aliases: Azure Databricks Private Link, Databricks private endpoint, workspace private endpoint, front-end Private Link
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Analytics
premium
Databricks workspace VNet injection
Databricks workspace VNet injection is the deployment model that places Azure Databricks compute resources into customer-managed virtual network subnets so network security, routing, and private connectivity controls can be applied.
Databricks
advanced
5 commands
Aliases: VNet-injected Databricks workspace, customer-managed VNet workspace, Databricks VNet injection, workspace in customer VNet
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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
Auto Loader
Auto Loader is the Azure Databricks feature that watches cloud storage and brings in new files without forcing engineers to rescan everything manually. In plain terms, it is a safer ingestion pattern for folders that keep receiving CSV, JSON, Parquet, images, or other data files. It can process existing files, then continue with new.
Analytics platform
intermediate
4 commands
Aliases: Databricks Auto Loader, cloudFiles, Auto Loader cloud files, Lakeflow Auto Loader
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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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Analytics
premium
Delta Lake table
A Delta Lake table is a Databricks table stored in Delta format, using data files and a transaction log to support reliable reads, writes, metadata, and table history.
Delta Lake
fundamentals
4 commands
Aliases: Delta table in Delta Lake, Databricks Delta Lake table, Delta format table, lakehouse Delta table
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Analytics
premium
Delta Live Tables
Delta Live Tables is the former name for Lakeflow Spark Declarative Pipelines, a Databricks framework for declarative batch and streaming pipelines using SQL or Python.
Azure Databricks
intermediate
4 commands
Aliases: DLT, Lakeflow Spark Declarative Pipelines, Databricks declarative pipelines, Lakeflow pipelines
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Analytics
premium
Delta table
A Delta table is a table stored in Delta Lake format, combining Parquet data files with a transaction log for reliable batch, streaming, and SQL operations.
Delta Lake
fundamentals
4 commands
Aliases: Databricks Delta table, Delta format table, Delta Lake table, managed Delta table
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Analytics
premium
Microsoft Fabric lakehouse
Microsoft Fabric lakehouse is a Microsoft Fabric data item that stores files and tables in OneLake while exposing lakehouse-style analytics and engineering experiences. Teams should manage it with clear ownership, monitoring, rollback evidence, and production change discipline.
Microsoft Fabric
intermediate
4 commands
Aliases: Fabric lakehouse, lakehouse item, OneLake lakehouse
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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
field-manual-complete
Unity Catalog catalog
A Unity Catalog catalog is the top level of the Unity Catalog three-level namespace. It groups schemas and their tables, views, volumes, functions, and models under a governance boundary, with permissions, workspace bindings, and ownership patterns that help separate domains, environments, or data products.
Azure Databricks
intermediate
5 commands
Aliases: catalog in Unity Catalog, Databricks catalog, UC catalog, catalog.schema.table namespace
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Analytics
field-manual-complete
Unity Catalog schema
A Unity Catalog schema is the namespace inside a catalog that contains tables, views, volumes, functions, and models. It gives teams a more granular organization and permission boundary than the catalog level while keeping assets in the catalog.schema.object hierarchy used by Azure Databricks.
Azure Databricks
intermediate
5 commands
Aliases: schema in Unity Catalog, Databricks schema, UC schema, catalog schema namespace
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Analytics
field-manual-complete
Lakehouse architecture
Lakehouse architecture combines data lake scale with warehouse-style querying, governance, and analytics patterns. On Azure, it commonly uses Delta Lake, OneLake or ADLS storage, Spark, SQL experiences, BI tools, and layered data design such as bronze, silver, and gold at enterprise scale.
Azure Databricks
intermediate
4 commands
Aliases: No aliases yet
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Analytics
verified
Photon
Photon is an acceleration engine inside Azure Databricks. When a supported job, SQL warehouse, or pipeline uses Photon, Databricks can process parts of the workload with a faster vectorized engine instead of relying only on standard Spark execution. Users usually do not rewrite code just to use it, but they still need to choose compatible compute and measure results. Photon is useful for SQL, ETL, DataFrame, and some streaming workloads where the speed gain justifies the compute and DBU cost.
Azure Databricks
intermediate
4 commands
Aliases: Databricks Photon, Azure Databricks Photon, Photon query engine, vectorized query engine, Photon runtime
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Analytics
premium field-manual
Medallion architecture
Medallion architecture is a lakehouse data design that organizes data into bronze, silver, and gold layers as quality improves. Teams use it when data teams need a shared pattern for raw ingestion, cleaned data, curated analytics, and trusted consumption. In plain English, it gives operators a named control for clear data quality stages, ownership boundaries, and reusable analytics products 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.
Lakehouse architecture
intermediate
4 commands
Aliases: Medallion architecture, bronze silver gold architecture, medallion lakehouse, bronze silver gold layers, lakehouse medallion pattern, bronze-silver-gold, bronze-silver-gold pattern, Azure Databricks, Microsoft Fabric, and lakehouse platforms, Lakehouse architecture
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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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AI and Machine Learning
premium
Azure Machine Learning
Azure Machine Learning is a cloud service for managing the machine learning lifecycle, including workspaces, data, training jobs, model deployment, monitoring, and MLOps.
Machine learning operations
advanced
5 commands
Aliases: Azure ML, AML, Machine Learning workspace
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Databases
premium
Azure SQL logical server
An Azure SQL logical server is a logical administrative construct for Azure SQL Database and related SQL resources. Microsoft Learn describes it as the central point for managing a collection of databases, including logins, firewall rules, auditing, threat detection policies, and failover groups.
Azure SQL Database
fundamentals
16 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Azure OpenAI resource
An Azure OpenAI resource is the Azure control-plane boundary that hosts deployments, endpoints, access, networking, and billing context.
Azure OpenAI
fundamentals
12 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Azure OpenAI Service
Azure OpenAI Service provides managed access to OpenAI model capabilities through Azure endpoints and enterprise controls.
Generative AI
fundamentals
11 commands
Aliases: Azure OpenAI
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AI and Machine Learning
premium
Azure OpenAI
Azure OpenAI provides OpenAI model capabilities through Azure resources, deployments, identity, networking, quota, and monitoring controls.
Azure OpenAI
intermediate
8 commands
Aliases: Azure OpenAI Service
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Management and Governance
premium
Azure Policy
Azure Policy is a governance service for creating, assigning, and managing rules that evaluate Azure resources.
Azure Policy
fundamentals
7 commands
Aliases: Policy
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Developer Tools
premium
Azure PowerShell
Azure PowerShell is Microsoft’s Az module collection for managing Azure resources from PowerShell.
Command line
fundamentals
7 commands
Aliases: Az PowerShell module, Az module, Azure PowerShell, Azure PowerShell cmdlets, PowerShell for Azure
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Management and Governance
premium
Azure subscription
An Azure subscription is a management, billing, and scale unit for Azure resources.
Azure scope
fundamentals
7 commands
Aliases: subscription
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Developer Tools
premium
Azure CLI
A cross-platform command-line tool for connecting to Azure and executing administrative commands on Azure resources.
Command line
fundamentals
6 commands
Aliases: az, Azure command-line interface
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Developer Tools
premium
Azure Developer CLI
An open-source developer command-line tool that accelerates provisioning, deployment, pipeline setup, and monitoring for application resources on Azure.
Developer workflow
fundamentals
6 commands
Aliases: azd
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Compute
premium
Azure Functions
Azure Functions is Azure serverless compute for running code from triggers such as HTTP requests, queues, timers, events, and service integrations without managing servers.
Serverless compute
intermediate
6 commands
Aliases: Functions, Function App, serverless functions
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Containers
premium
Azure Kubernetes Service
Azure Kubernetes Service is Azure’s managed Kubernetes service for deploying, scaling, and operating containerized applications while Azure manages much of the cluster control plane.
Managed Kubernetes
advanced
6 commands
Aliases: AKS, managed Kubernetes
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Hybrid and Multicloud
premium
Azure Local
Azure Local is Microsoft’s distributed infrastructure solution that extends Azure capabilities to customer-owned environments for local VMs, containers, and selected Azure services through Azure Arc.
Distributed infrastructure
advanced
6 commands
Aliases: Azure Stack HCI, Azure Local infrastructure, Arc-enabled local infrastructure
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