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Analytics field-manual-complete Kusto Query Language Kusto Query Language, or KQL, is the query language used across Azure Data Explorer, Microsoft Fabric, Azure Monitor, and Microsoft Sentinel to explore structured, semi-structured, and text data, filter records, summarize results, detect patterns, and build operational analytics and dashboards. Resource Graph fundamentals 4 commands Aliases: KQL Quick peek Open full term page

Databases premium Cosmos DB query Find the high-RU query that causes 429 throttling before increasing provisioned throughput or autoscale limits.; Decide whether a user-facing search should remain a Cosmos DB query, become a point-read pattern, or move t Azure Cosmos DB intermediate 4 commands Aliases: Cosmos DB query, cosmos db query Quick peek Open full term page

Management and Governance premium Resource Graph query A Resource Graph query is a fast way to ask, “What resources do we have?” across subscriptions. It is useful for inventory, governance, cleanup, tagging checks, security investigations, and finding patterns that would be painful to inspect one resource at a time. Resource Graph intermediate 4 commands Aliases: No aliases yet Quick peek Open full term page

Analytics field-manual-complete Kusto query performance Kusto query performance describes how efficiently Azure Data Explorer, Fabric, Azure Monitor, or Sentinel executes KQL, including how much data a query scans, which operators it uses, how resources are consumed, and whether service limits or workload controls affect results. Azure Data Explorer intermediate 4 commands Aliases: No aliases yet Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

Monitoring and Observability premium KQL KQL controls how operators search telemetry, detect incidents, investigate performance, build dashboards, create alerts, and summarize operational evidence across Azure services. Teams see it in log analytics workspaces, azure monitor logs. It is not SQL, PromQL, OData filters, ARM template expressions, Azure Data Factory expression language, or application code; confusing them can create missed incidents, expensive queries. 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. Query language Fundamentals 5 commands Aliases: Kusto Query Language, Kusto query, Azure Monitor query language, Sentinel query language Quick peek Open full term page

Monitoring and Observability premium KQL function KQL function controls how teams reuse common filters, joins, calculations, detections, and normalization logic across monitoring, security, and analytics workloads. Teams see it in azure data explorer databases, microsoft sentinel hunting queries. It is not an Azure Function app, SQL stored procedure, Logic Apps workflow, user-defined scalar operator, or ARM template function; confusing them can create stale detection logic, broken dashboards. 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. Query language Intermediate 5 commands Aliases: Kusto function, user-defined KQL function, stored Kusto function, query-defined function Quick peek Open full term page

Analytics premium ADX dashboard ADX dashboard is an Azure Data Explorer dashboard made of KQL-backed tiles and visuals for exploring telemetry or time-series data. In everyday Azure work, teams use it to turn Kusto queries into shared operational views for incidents, trends, business metrics, or engineering reviews. The useful evidence is dashboard owner, data source, base query, tile query, Azure Data Explorer intermediate 4 commands Aliases: Azure Data Explorer dashboard, Kusto dashboard, ADX visualization dashboard Quick peek Open full term page

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 Quick peek Open full term page

Analytics field-manual-complete Kusto table A Kusto table is a database object in Azure Data Explorer or Fabric that stores ingested records in a named schema. Tables are created, altered, queried, secured, and governed through Kusto management commands, policies, ingestion mappings, and KQL queries in production. Azure Data Explorer intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

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 Quick peek Open full term page

Analytics field-manual-complete Kusto update policy A Kusto update policy is an automation rule that runs when new data is written to a source table, executes a transformation query, and inserts the transformed results into one or more target tables without requiring separate orchestration inside Kusto. Azure Data Explorer intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

Analytics field-manual-complete Kusto workload group A Kusto workload group groups queries and management commands by shared characteristics so Azure Data Explorer or Fabric can apply request limits and rate limits. Workload groups support workload management, concurrency control, prioritization, and protection from resource monopolization across tenants. Azure Data Explorer advanced 4 commands Aliases: No aliases yet Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

Analytics field-manual-complete Stream Analytics query A Stream Analytics query is the logic that turns incoming events into useful results. It looks like SQL, but it is built for streams, time windows, late events, joins, reference data, and continuous output. The query decides what fields to keep, what events to filter, how to group data, and where each result goes. For operators, a query is not just code; it is production behavior that can change alerts, dashboards, and records within seconds. Streaming analytics fundamentals 5 commands Aliases: Stream Analytics query, ASA query, Stream Analytics SQL query, streaming query, ASAQL query Quick peek Open full term page

Analytics premium Expression language Expression language is the Azure Data Factory and Azure Synapse syntax used to build dynamic values, parameters, conditions, and function calls inside pipeline definitions. Teams use it to make pipeline paths, dates, conditions, parameters, linked-service values, and activity settings change at runtime instead of being hard-coded. It is not general programming code, a SQL dialect, a security boundary, or a guarantee that dynamic values are valid for every dataset and trigger context. In production, confirm expression syntax, parameter names, variable scope, activity output references, trigger metadata, evaluated values, published JSON, debug runs, run IDs, and downstream paths or queries before. Data Factory intermediate 6 commands Aliases: ADF expression language, Data Factory expression language, pipeline expression language, dynamic content Quick peek Open full term page

AI and Machine Learning premium Search query key A search query key is an Azure AI Search API key that permits read-only document queries against indexes. It is intended for client applications that need search results but should not manage indexes, data sources, indexers, skillsets, or service configuration. Search fundamentals 5 commands Aliases: Azure AI Search query key, search API query key, read-only search key, query API key, Azure Search query key Quick peek Open full term page

AI and Machine Learning premium Azure AI Language Azure AI Language is the Azure natural-language processing service for analyzing and understanding text with prebuilt and customizable language capabilities. AI services intermediate 4 commands Aliases: Azure Language, Azure Language in Foundry Tools, Azure Language service, Language in Foundry Tools, Language service Quick peek Open full term page

Databases premium Azure SQL Query Store Find the exact query plan regression that appeared after an application deployment or database compatibility-level change.; Compare normal and incident windows before deciding whether a SKU scale-up is justified. Azure SQL Database fundamentals 4 commands Aliases: Azure SQL Query Store Quick peek Open full term page

AI and Machine Learning premium Conversational language understanding A AI platform capability in Azure AI services that helps teams build, secure, observe, and govern intelligent applications with clearer ownership, safety, and operational context. Azure AI services fundamentals 3 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning field-manual-complete Language detection Language detection is a prebuilt Azure Language capability that identifies the predominant language of submitted text. It returns a language name, code, confidence score, script name, and script code, supports more than 100 languages in primary scripts, and can use country hints for ambiguous input. Azure AI services intermediate 8 commands Aliases: No aliases yet Quick peek Open full term page

Monitoring and Observability template-specs-upgraded Scheduled query alert A scheduled query alert is an Azure Monitor alert built from a KQL query that runs again and again on a defined cadence. Monitoring advanced 6 commands Aliases: log search alert, Azure Monitor scheduled query rule, scheduledQueryRules, KQL alert, Log Analytics alert Quick peek Open full term page

AI and Machine Learning field-manual-complete Language service Azure Language is a cloud-based Azure AI service for natural language processing. It provides core text analysis capabilities such as language detection, PII detection, named entity recognition, text analytics for health, and other features through Microsoft Foundry, REST APIs, client libraries, containers, and agent tools. Azure AI services fundamentals 5 commands Aliases: No aliases yet Quick peek Open full term page

Databases field-manual-complete PostgreSQL Query Store PostgreSQL Query Store is a built-in performance history feature for Azure Database for PostgreSQL flexible server. Instead of guessing why the database became slow, teams can look at recorded query behavior over time: which queries ran often, which took longest, which waited on locks or I/O, and when the pattern changed. It is not a tuning magic button. It is evidence. Developers, DBAs, and operators use it to separate bad SQL, missing indexes, workload spikes, and application changes from general database health complaints. Data platform intermediate 5 commands Aliases: PostgreSQL Query Store, Azure PostgreSQL Query Store, pg_qs, Query Store for PostgreSQL flexible server Quick peek Open full term page

AI and Machine Learning verified Query key A query key is a safer API key for applications that only need to search an Azure AI Search index. Azure AI Search fundamentals 5 commands Aliases: No aliases yet Quick peek Open full term page

Databases verified Query Store Query Store is a built-in history recorder for SQL query behavior. Azure SQL intermediate 5 commands Aliases: No aliases yet Quick peek Open full term page

Databases complete SQL Query Store Microsoft Learn describes Query Store as a SQL feature that captures a history of queries, execution plans, and runtime statistics for review. It helps troubleshoot performance changes, especially regressions caused by plan changes, and is available across SQL Server, Azure SQL Database, Azure SQL Managed Instance, and related SQL platforms. SQL performance monitoring intermediate 5 commands Aliases: Query Store, Azure SQL Query Store, SQL Server Query Store, query performance history Quick peek Open full term page

Storage verified OData table query An OData table query is a Table Storage query operation that returns tables or entities as an OData entity set. Azure Table Storage supports options such as $filter, $top, and $select, and paged results may include continuation tokens. Clients must preserve options across pages. Table Storage fundamentals 4 commands Aliases: Table Storage query, Query Entities, OData entity query, Azure table query Quick peek Open full term page

Databases complete Slow query Microsoft Learn database guidance uses slow query analysis across Azure SQL, Azure Database for PostgreSQL, Azure Database for MySQL, and related services to find statements whose duration, resource use, waits, or frequency hurt users or capacity. Evidence usually comes from Query Store, diagnostic logs, metrics, or engine-specific views. Database advanced 2 commands Aliases: Long-running query, slow SQL query, query regression, expensive query Quick peek Open full term page

AI and Machine Learning learning-path-anchor Synonym map A synonym map helps Azure AI Search understand that different words can mean the same thing for search. Users may type laptop, notebook, ultrabook, or a product nickname, while the indexed document uses only one of those terms. The synonym map teaches the search service to expand or rewrite the query so relevant documents... Azure AI Search intermediate 5 commands Aliases: AI Search synonym map, search synonyms, synonymMaps, equivalent terms map Quick peek Open full term page

AI and Machine Learning learning-path-anchor Text to speech Text to speech in Azure AI Speech converts written text or SSML into synthesized audio using neural voices, custom voice options, language support, and APIs. Teams use it to add spoken responses to apps, contact centers, accessibility tools, devices, and media workflows while governing region, keys, networking, and quota. Azure AI services fundamentals 4 commands Aliases: Text to speech, text to speech, Azure Text to speech, Microsoft Learn Text to speech, TTS, speech synthesis, Azure AI Speech synthesis, neural voices, SSML speech Quick peek Open full term page

Databases learning-path-anchor Cosmos DB dedicated gateway Azure Cosmos DB dedicated gateway is provisioned server-side compute that fronts an account and enables the integrated cache for supported NoSQL workloads. Azure Cosmos DB fundamentals 3 commands Aliases: No aliases yet Quick peek Open full term page

Databases command-rich Cosmos DB for Apache Gremlin Azure Cosmos DB for Apache Gremlin is a managed graph database service for storing, querying, and traversing graph data with the Gremlin language. Data platform intermediate 4 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Search analyzer A search analyzer is the Azure AI Search text-processing component that breaks strings into searchable tokens during indexing and query execution. Built-in, language, or custom analyzers control tokenization, normalization, stemming, stop words, and other lexical behavior for searchable string fields. Azure AI Search fundamentals 8 commands Aliases: Azure AI Search analyzer, text analyzer, search text analyzer, custom analyzer, language analyzer Quick peek Open full term page

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 Quick peek Open full term page

AI and Machine Learning premium Hybrid search Hybrid search in Azure AI Search combines vector search and keyword or full-text search in a single request and merges the results. Azure AI Search advanced 5 commands Aliases: Hybrid search, hybrid search Quick peek Open full term page

Analytics premium Incremental copy Incremental copy is the Azure concept that controls how data platforms move changes without reprocessing every source row or file. Teams see it when working with data factory pipelines, copy activity. It is not a full reload, a one-time migration, a backup job, or a blind append into a lake; that distinction matters because bad assumptions create duplicate records, missed changes. Use the term when reviewing ownership, access, monitoring, cost, recovery, or performance. It keeps architects, operators, security reviewers, and support teams focused on the same resource, setting, or behavior. Azure Data Factory Intermediate 5 commands Aliases: incremental load, delta copy, watermark copy, CDC copy, last modified copy Quick peek Open full term page

AI and Machine Learning premium Semantic ranker Semantic ranker is an Azure AI Search capability that applies language understanding to an initial result set and reranks the most relevant matches. It can improve keyword, vector, or hybrid search results and supports semantic captions, answers, and reranker scores when the index and query are configured correctly. Azure AI Search semantic ranking fundamentals 5 commands Aliases: semantic reranker, Azure AI Search semantic ranker, semantic ranking, semantic search ranking Quick peek Open full term page

Analytics learning-path-anchor Synapse SQL CETAS Synapse SQL CETAS means CREATE EXTERNAL TABLE AS SELECT. It creates external table metadata and exports the result of a T-SQL SELECT statement in parallel to files in Azure Storage or Azure Data Lake Storage Gen2 for later SQL or lake consumption. Synapse Analytics fundamentals 6 commands Aliases: CREATE EXTERNAL TABLE AS SELECT, CETAS, Synapse CETAS, serverless SQL CETAS Quick peek Open full term page

Analytics learning-path-anchor Synapse SQL external table A Synapse SQL external table is database metadata that lets Synapse SQL query files stored outside the database, usually in Azure Storage or ADLS Gen2. It references an external data source, file format, and file location for governed SQL analytics. Synapse Analytics fundamentals 6 commands Aliases: external table in Synapse, Synapse external table, SQL external table, external table over lake files Quick peek Open full term page

Analytics learning-path-anchor Synapse SQL on-demand Synapse SQL on-demand is the serverless SQL pool model in Azure Synapse Analytics. It lets teams run T-SQL queries over data in the lake without provisioning dedicated warehouse capacity, storing only metadata objects while using external data sources, views, functions, and security objects. Synapse Analytics fundamentals 6 commands Aliases: SQL on-demand, Synapse serverless SQL, serverless SQL in Synapse, built-in serverless SQL pool Quick peek Open full term page

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 Quick peek Open full term page

Databases premium Cosmos DB API for Gremlin Managed Cosmos DB graph API for relationship-heavy workloads that model data as vertices, edges, properties, and Gremlin traversals. Azure Cosmos DB intermediate 4 commands Aliases: Azure Cosmos DB for Apache Gremlin, API for Gremlin, Gremlin API Quick peek Open full term page

Databases premium Cosmos DB firewall Azure Cosmos DB firewall controls inbound access to a Cosmos DB account by allowing selected IP addresses, IP ranges, Azure services, or virtual network paths. Azure Cosmos DB intermediate 4 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Custom analyzer an Azure AI Search text-processing recipe built from character filters, a tokenizer, and token filters instead of using only a built-in analyzer. Azure AI Search fundamentals 4 commands Aliases: Azure AI Search custom analyzer, search custom analyzer, custom text analyzer Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page