Search Azure terms

Databases verified Redis data persistence Redis data persistence stores Redis data outside volatile memory so an Azure Redis instance can rehydrate after severe node failure. In Azure Managed Redis, persistence can use RDB snapshots or AOF write logs; it improves durability but is not backup or point-in-time recovery. Cache and in-memory data fundamentals 5 commands Aliases: Redis persistence, RDB persistence, AOF persistence Quick peek Open full term page

Databases verified Redis cache shard A Redis cache shard is a slice of the cache. Instead of forcing every key, session, counter, and hot lookup through one Redis process, the cache can divide data across multiple shards. Each shard owns part of the keyspace, so the workload has more room and more processing capacity. For a learner, the important point is simple: sharding helps a cache grow horizontally, but it also makes key design, client compatibility, monitoring, and operational change control more important. Cache and in-memory data fundamentals 4 commands Aliases: Redis shard, cache shard, Redis partition Quick peek Open full term page

Databases verified Redis cache SKU A Redis cache SKU is the size and capability package you buy for the cache. It answers questions like how much memory the cache has, what performance level it can provide, which high-availability or scaling features are available, and how much it will cost. For Azure teams, SKU is not just a billing label. It is a design decision that affects latency, resilience, migration options, monitoring expectations, and whether the cache can support the application when traffic grows. Cache and in-memory data fundamentals 4 commands Aliases: Redis SKU, cache SKU, Redis size Quick peek Open full term page

Databases verified Redis access keys The primary and secondary key pair used for key-based authentication to an Azure Redis cache when that mode is enabled. Cache and in-memory data fundamentals 7 commands Aliases: No aliases yet Quick peek Open full term page

Databases verified Redis eviction policy A Redis eviction policy is the configured maxmemory rule that decides which keys are eligible for removal when Redis needs memory. Azure supports policies such as volatile-lru, allkeys-lru, random, TTL-based, LFU, and noeviction depending on Redis service, tier, and database configuration. Cache and in-memory data intermediate 5 commands Aliases: No aliases yet Quick peek Open full term page

Databases verified Redis firewall rule A Redis firewall rule in Azure Cache for Redis allows specific public IP address ranges to connect to a cache instance. Firewall rules use start and end IP values, apply to Basic, Standard, and Premium tiers, and are not available for Enterprise or Enterprise Flash. Cache and in-memory data intermediate 5 commands Aliases: No aliases yet Quick peek Open full term page

Databases verified Redis geo-replication Redis geo-replication connects Redis instances across Azure regions so cache data can be synchronized for regional resilience or lower-latency access. Azure Managed Redis supports active geo-replication groups with multiple writable instances, eventual consistency, configuration requirements, and operational procedures for regional outages. Cache and in-memory data intermediate 5 commands Aliases: No aliases yet Quick peek Open full term page

Databases verified Redis maxmemory policy Redis maxmemory policy controls how Redis responds when cache memory is full. Azure Cache for Redis exposes policies such as volatile-lru, allkeys-lru, volatile-random, allkeys-random, volatile-ttl, volatile-lfu, allkeys-lfu, and noeviction so teams choose whether Redis evicts keys or rejects writes under pressure. Cache and in-memory data intermediate 5 commands Aliases: Redis eviction policy, maxmemory-policy, Redis memory policy, cache eviction behavior Quick peek Open full term page

Databases verified Redis patch schedule Redis patch schedule is the preferred maintenance window for Azure Cache for Redis server updates. It lets operators choose update days and UTC start hours for routine maintenance, while critical security or platform updates may still occur outside the chosen window when necessary. Cache and in-memory data fundamentals 5 commands Aliases: Redis maintenance window, Redis scheduled updates, Azure Cache for Redis patch window, schedule updates Quick peek Open full term page

Databases field-manual-complete Redis persistence Redis persistence is the option that lets a Redis cache survive more than memory loss. Normal Redis is often treated as disposable because data lives in memory and can be rebuilt from a database. Persistence changes that assumption by saving snapshots or append-only changes so the cache can be restored after a serious failure. In Azure, it belongs with workload recovery planning, not routine backup exports. You still decide which data is safe to keep in Redis and which must remain in a durable database. Cache and in-memory data fundamentals 5 commands Aliases: Redis data persistence, RDB persistence, AOF persistence, Redis persisted cache Quick peek Open full term page

Databases field-manual-complete Redis private endpoint A Redis private endpoint gives your application a private IP path to Redis inside an Azure virtual network. Instead of letting clients reach the cache through its public endpoint, you attach a private endpoint to a subnet and connect through Private Link. The cache remains a managed Azure service, but traffic from approved networks resolves to private address space. This is most useful when security policy, compliance rules, or network design require Redis to behave like an internal dependency rather than an internet-exposed service. Cache and in-memory data intermediate 5 commands Aliases: Redis Private Endpoint, Azure Redis private endpoint, Redis endpoint over Private Link, Private Redis endpoint Quick peek Open full term page

Databases verified Redis clustering Redis clustering means the cache is not one giant bucket handled by one Redis process. The keyspace is divided across multiple Redis processes, often called shards, so the service can use more memory and processing power. Applications still talk to Redis, but the client library may need to understand where keys live. Clustering is useful for scale, but it changes how developers think about multi-key commands, hot keys, testing, failover, and operational monitoring. Cache and in-memory data intermediate 4 commands Aliases: Redis cluster, clustered Redis, Redis scale out Quick peek Open full term page

Databases premium Integrated cache Integrated cache controls how read-heavy Cosmos DB API for NoSQL applications reduce latency and request-unit consumption by reusing cached point reads and query results. Teams see it in azure cosmos db accounts, dedicated gateway configuration. It is not Azure Cache for Redis, a client-side memory cache, analytical store, a materialized view, or a replacement for correct partitioning; confusing them can create unexpected RU spending, stale reads. 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 Cosmos DB Intermediate 5 commands Aliases: Cosmos DB integrated cache, Azure Cosmos DB integrated cache, dedicated gateway cache, item cache, query cache Quick peek Open full term page

Databases premium Cosmos DB integrated cache Cosmos DB integrated cache means a dedicated gateway feature that serves cached point reads and queries without consuming request units for repeated reads. It is the practical label operators use when they decide how application data should be modeled, queried, protected, and monitored in Azure Cosmos DB. In plain English, it explains where developers, platform engineers, and support teams meet: the application wants fast data access, while the platform controls scale, cost, security, and recovery. A good glossary entry helps the team know which setting to inspect, which owner to involve, and which symptoms prove the design works. Azure Cosmos DB intermediate 5 commands Aliases: Azure Cosmos DB integrated cache, cosmos db integrated cache Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

Databases premium Managed instance database A managed instance database is a database hosted inside Azure SQL Managed Instance with managed platform operations and SQL Server compatibility features. Teams use it when a workload needs managed SQL operations while keeping instance-level features closer to SQL Server. In plain English, it gives operators a named control for database-level ownership, backup evidence, restore planning, and migration clarity within a managed instance 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 SQL Managed Instance intermediate 3 commands Aliases: Managed instance database, Azure SQL Managed Instance Quick peek Open full term page

Analytics verified Reference data input A reference data input is the wiring between a Stream Analytics job and the lookup data it needs. The reference data is the table or file; the input is the job setting that says where that data lives, what alias the query Streaming analytics fundamentals 5 commands Aliases: Stream Analytics reference input, reference input alias, reference lookup input Quick peek Open full term page

Databases premium Azure Cache for Redis A managed in-memory data store based on Redis that improves application performance by caching frequently accessed data close to workloads. Cache fundamentals 4 commands Aliases: Azure Redis Cache, Redis cache, managed Redis cache Quick peek Open full term page

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 Quick peek Open full term page

Databases verified Redis cache A managed in-memory Redis data store on Azure used to improve application latency, throughput, and resilience of frequently accessed data. Azure Managed Redis intermediate 7 commands Aliases: No aliases yet Quick peek Open full term page

Databases verified Redis database A Redis database is the keyspace and endpoint an application uses to store Redis keys, values, streams, sets, hashes, and other data structures. In Azure Managed Redis and Redis Enterprise, database settings govern clustering, eviction, access, persistence, and client connectivity inside the managed service. Azure Managed Redis fundamentals 5 commands Aliases: Redis keyspace, Redis DB, Redis cache database Quick peek Open full term page

Databases field-manual-complete Transparent data encryption Transparent data encryption helps protect Azure SQL Database, Azure SQL Managed Instance, and Azure Synapse Analytics by encrypting data, backups, and transaction logs at rest. Encryption and decryption happen in real time without requiring application changes, with service-managed or customer-managed key options. Azure SQL intermediate 5 commands Aliases: TDE, SQL transparent data encryption, Azure SQL TDE, database encryption at rest, TDE protector Quick peek Open full term page

Databases verified Redis cache tier A Redis cache tier is the broad class of cache capability, while the SKU is the exact purchasable size inside that class. The tier tells you what kind of workload the cache is meant for: simple development, production high availability, larger scale, flash-backed capacity, or a managed enterprise-style Redis deployment. For learners, tier is the decision that says what features and operating expectations are on the table before anyone argues about the exact memory size. Cache intermediate 4 commands Aliases: Redis tier, cache tier, Redis performance tier 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

Storage premium Azure HPC Cache Azure HPC Cache was a managed Azure file-caching service for HPC workloads; Microsoft retired the service on September 30, 2025, so current work should focus on migration or historical inventory. Retired HPC caching advanced 5 commands Aliases: HPC Cache, Azure Storage Cache Quick peek Open full term page

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 Quick peek Open full term page

Databases premium Azure SQL point-in-time restore A database capability or setting in Azure SQL Database that helps teams store, query, scale, secure, and recover application data with clearer ownership, safety, and operational context. Azure SQL Database fundamentals 5 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Index size Index size is the Azure concept that controls capacity planning, cost control, and performance expectations for indexes stored in an Azure AI Search service. Teams see it when working with azure ai search index statistics, portal index list. It is not database file size, blob capacity, a partition count, or the number of documents alone; that distinction matters because bad assumptions create partition exhaustion, slower queries. 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 AI Search Intermediate 5 commands Aliases: search index size, index storage size, vector index size, search storage usage Quick peek Open full term page

Analytics premium Kusto cache policy Kusto cache policy controls which Azure Data Explorer data is kept in hot local cache versus colder storage for faster queries and managed cost. Azure Data Explorer policies Advanced 5 commands Aliases: ADX cache policy, hot cache policy, Kusto hot cache, Azure Data Explorer caching policy Quick peek Open full term page

Databases premium Serverless SQL database A serverless SQL database is an Azure SQL Database single database configured with the serverless compute model. It automatically scales compute within configured limits, can auto-pause in supported tiers, resumes on activity, and keeps the managed SQL Database platform features such as backups, patching, monitoring, and security. Azure SQL Database fundamentals 5 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Enrichment cache An enrichment cache stores outputs from document cracking and skill execution in Azure Storage so AI enrichment pipelines can reuse existing processed content. Azure AI Search intermediate 4 commands Aliases: AI Search enrichment cache, incremental enrichment cache, skillset cache Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

Management and Governance premium Cache freshness Cache freshness describes how current cached data or a cached response is compared with the origin source. Dashboard operations advanced 2 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Cache hit ratio Cache hit ratio is the percentage of cache lookups that are served from cache instead of going back to the origin system. Database advanced 2 commands Aliases: No aliases yet Quick peek Open full term page