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Analytics
premium
Kusto data connection
Kusto data connection links Azure Data Explorer to event or storage sources such as Event Hubs, Event Grid, or IoT Hub so data can be ingested into a database table.
Azure Data Explorer ingestion
Intermediate
5 commands
Aliases: ADX data connection, Event Hubs data connection, Event Grid data connection, IoT Hub data connection
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Analytics
premium
Kusto ingestion
Kusto ingestion is the process of loading data into Azure Data Explorer tables, where data is validated, mapped, indexed, encoded, and made queryable.
Azure Data Explorer ingestion
Intermediate
5 commands
Aliases: ADX ingestion, Azure Data Explorer ingestion, Kusto data ingestion
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Analytics
verified
Queued ingestion
Queued ingestion is an Azure Data Explorer ingestion method that accepts incoming data, stages it, batches it according to ingestion policy, and writes optimized batches into tables. It favors reliable, high-throughput loading over immediate per-record availability for operational analytics workloads.
Azure Data Explorer
intermediate
5 commands
Aliases: ADX queued ingestion, Kusto queued ingestion
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Storage
premium
Trusted Microsoft services for storage
Trusted Microsoft services for Azure Storage are specific Azure services that Microsoft documents as eligible for storage firewall exceptions. Depending on the service, access may be based on tenant registration, supported operations, or managed identity authorization combined with Azure RBAC or Data Lake ACLs.
Storage platform
intermediate
5 commands
Aliases: trusted Azure services for Storage, storage trusted services list, Azure Storage trusted services, trusted services storage firewall
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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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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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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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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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Storage
premium
Azure Storage Explorer
Azure Storage Explorer is a standalone app for Windows, macOS, and Linux that helps users connect to and manage Azure Storage data and resources through a graphical interface.
Storage tooling
fundamentals
4 commands
Aliases: No aliases yet
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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 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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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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Storage
premium
Azure Data Box
An Azure service that transfers large amounts of data to or from Azure by shipping secure, managed storage devices for offline migration.
Data transfer
intermediate
4 commands
Aliases: Data Box
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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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Databases
premium
Azure SQL transparent data encryption
Azure SQL Transparent Data Encryption helps protect Azure SQL Database data, log files, and backups at rest by encrypting and decrypting database pages without requiring application changes.
Azure SQL Database
fundamentals
4 commands
Aliases: No aliases yet
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Analytics
premium
Ingestion mapping
Ingestion mapping controls how streaming or batch data lands in the correct Kusto columns without corrupting schema, losing values, or forcing manual parsing later. Teams see it in azure data explorer tables, kusto databases. It is not a query projection, update policy, table schema alone, Data Factory mapping data flow, or index projection; confusing them can create null columns, failed ingestion. Use the term when reviewing access, monitoring, cost, recovery, or performance. It keeps architects, operators, security reviewers, and support teams focused on the same setting, resource, or behavior.
Azure Data Explorer
Intermediate
5 commands
Aliases: Kusto ingestion mapping, ADX ingestion mapping, table ingestion mapping, JSON ingestion mapping, CSV ingestion mapping
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Analytics
premium
Kusto database
Kusto database is a logical container inside an Azure Data Explorer cluster that holds tables, functions, policies, permissions, and ingestion/query configuration.
Azure Data Explorer database
Intermediate
5 commands
Aliases: ADX database, Azure Data Explorer database, Kusto DB
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Analytics
premium
Kusto follower database
Kusto follower database is a read-only database attached from another Azure Data Explorer cluster so consumers can query leader data without copying it.
Azure Data Explorer data sharing
Advanced
5 commands
Aliases: ADX follower database, Azure Data Explorer follower database, followed database
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Analytics
field-manual-complete
Streaming ingestion
Streaming ingestion is the path that gets fresh events into Azure Data Explorer quickly, often within seconds, instead of waiting for larger batch ingestion cycles. It is useful for operational telemetry, logs, alerts, and near-real-time analytics where people need to query the newest data quickly. It is not the best answer for every high-volume table; queued ingestion may be better for large sustained loads. The practical decision is latency versus throughput efficiency, table design, mapping quality, and operational cost.
Azure Data Explorer
intermediate
5 commands
Aliases: Azure Data Explorer streaming ingestion, ADX streaming ingestion, Kusto streaming ingestion, low latency ingestion
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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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AI and Machine Learning
premium
Azure AI Search index
An Azure AI Search index is the place where your application searches. It is not just a pointer to a database or blob container. It is a separate searchable structure with documents, fields, and rules for how text, filters, facets, semantic ranking, and vectors behave. If the index schema is wrong, the search experience feels wrong even when the source data is good. Developers and operators use indexes to make.
AI platform and search
intermediate
5 commands
Aliases: Azure AI Search index, search index, AI Search index, azure-ai-search-index
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AI and Machine Learning
premium
Azure AI Search indexer
An Azure AI Search indexer is the automated worker that fills a search index from another data source. Instead of your application pushing every document into Azure AI Search, the indexer pulls from places such as Blob Storage, Azure SQL, Cosmos DB, or Data Lake Storage. It can map fields, detect changes, crack documents, and run enrichment skills before writing searchable documents. It is useful when source data changes regularly.
AI platform and search
intermediate
5 commands
Aliases: Azure AI Search indexer, search indexer, indexer, azure-ai-search-indexer
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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 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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AI and Machine Learning
premium
Azure AI metrics
Azure AI metrics is the measurable signals used to observe Azure AI applications, model endpoints, agents, evaluations, safety checks, and business outcomes.
Azure AI services
intermediate
4 commands
Aliases: AI metrics, AI service metrics, Azure AI Metrics Advisor, Azure Monitor metrics for AI, Metrics Advisor, time series anomaly detection
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AI and Machine Learning
premium
Azure AI Search
Azure AI Search is a managed retrieval service for full-text, vector, hybrid, and semantic search across application and enterprise content. It provides search services, indexes, indexers, skillsets, ranking features, security controls, and APIs used by apps, copilots, and knowledge portals.
Search
fundamentals
4 commands
Aliases: Azure AI Search, AI Search, Azure Cognitive Search, enterprise search, vector search, hybrid search, semantic search, Search service
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Management and Governance
premium
Azure Resource Graph
Azure Resource Graph is the fast inventory search engine for Azure resources. Microsoft Learn anchors this term in What is Azure Resource Graph?, 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, Azure Resource Graph extends Azure Resource Management by maintaining queryable resource data across the subscriptions available to the signed-in.
Fleet discovery
fundamentals
4 commands
Aliases: ARG
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Databases
premium
Cosmos DB database
An Azure Cosmos DB database is a unit of management for one or more containers within an account and acts as a namespace for child resources.
Cosmos DB
fundamentals
4 commands
Aliases: No aliases yet
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Storage
premium
Filesystem in Data Lake Storage
Filesystem in Data Lake Storage is the top-level container-like namespace in Azure Data Lake Storage Gen2 that holds directories and files in Azure.
Data Lake Storage Gen2
intermediate
4 commands
Aliases: Filesystem in Data Lake Storage, filesystem in data lake storage
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Monitoring and Observability
premium
Azure Monitor
Azure Monitor is Microsoft’s unified observability service for collecting, analyzing, and acting on telemetry from Azure, hybrid, and application workloads. It brings together metrics, logs, traces, events, alerts, workbooks, and Application Insights capabilities so teams can understand health, performance, and reliability.
Monitoring
fundamentals
3 commands
Aliases: Azure Monitor, Monitor, Azure observability, Log Analytics, Application Insights, Azure metrics and logs
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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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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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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
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
Reference data
Reference data is the lookup information your streaming job needs but does not receive as live events. Think device catalogs, store locations, tariff codes, risk bands, or product mappings. In Azure Stream Analytics, the event stream keeps moving while reference data supplies
Stream Analytics
intermediate
5 commands
Aliases: Azure Stream Analytics reference data, lookup data, slowly changing lookup data, streaming reference dataset
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