[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6EDGVAC1BTS8KFCAMK70F2C":3,"skill-same:01M6EDGVAC1BTS8KFCAMK70F2C":58},{"skillNo":4,"name":5,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":27,"publishedAt":31,"linkOnly":32,"markdownContent":33,"markdownBody":33,"frontMatter":34,"refName":35,"commitSha":36,"skillDirectory":37,"forksCount":38,"repositoryHtmlUrl":39,"repositoryHomepageUrl":40,"ownerHtmlUrl":41,"ownerBlogUrl":6,"ownerDescription":42,"updatedAt":43,"install":44,"resources":57},"01M6EDGVAC1BTS8KFCAMK70F2C","azure-stream-analytics",null,"ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",66,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002FMicrosoftDocs\u002FAgent-Skills\u002Fazure-stream-analytics\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000013","分析与可视化","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[28,29,30],"analytics","azure","azure stream analytics","2026-11-10 10:12:30",false,"# Azure Stream Analytics Skill\n\nThis skill provides expert guidance for Azure Stream Analytics. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.\n\n## How to Use This Skill\n\n> **IMPORTANT for Agent**: Use the **Category Index** below to locate relevant sections. For categories with line ranges (e.g., `L35-L120`), use `read_file` with the specified lines. For categories with file links (e.g., `[security.md](security.md)`), use `read_file` on the linked reference file\n\n> **IMPORTANT for Agent**: If `metadata.generated_at` is more than 3 months old, suggest the user pull the latest version from the repository. If `mcp_microsoftdocs` tools are not available, suggest the user install it: [Installation Guide](https:\u002F\u002Fgithub.com\u002FMicrosoftDocs\u002Fmcp\u002Fblob\u002Fmain\u002FREADME.md)\n\nThis skill requires **network access** to fetch documentation content:\n- **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown.\n- **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text\u002Fmarkdown`. Returns Markdown.\n\n## Category Index\n\n| Category | Lines | Description |\n|----------|-------|-------------|\n| Troubleshooting | L37-L56 | Diagnosing and fixing Stream Analytics job issues: error codes (config\u002Fdata\u002Fexternal\u002Finternal), input\u002Foutput connection failures, query\u002FUDF bugs, and using diagrams, metrics, and resource logs to debug. |\n| Best Practices | L57-L75 | Guidance on designing, scaling, optimizing, and troubleshooting Stream Analytics jobs, including queries, partitions, time handling, inputs\u002Foutputs, metrics, alerts, and geospatial\u002FML patterns |\n| Decision Making | L76-L82 | Guidance on choosing Stream Analytics developer tools, migrating projects from Visual Studio to VS Code, and comparing Azure real-time\u002Fstream processing services for your scenario. |\n| Architecture & Design Patterns | L83-L88 | Architectural patterns and best practices for designing resilient, geo-redundant Azure Stream Analytics solutions, including reference topologies and high-availability job designs. |\n| Limits & Quotas | L89-L94 | Configuring and tuning Stream Analytics streaming units and clusters, including how to resize, scale performance, and understand capacity limits and resource quotas. |\n| Security | L95-L114 | Securing Stream Analytics jobs: managed identities for inputs\u002Foutputs, private endpoints\u002FVNet integration, data protection, credential rotation, and Azure Policy compliance controls. |\n| Configuration | L115-L149 | Configuring Stream Analytics jobs: inputs\u002Foutputs (SQL, Cosmos DB, Event Hubs, Kafka, Power BI, Delta Lake, etc.), partitioning, autoscale, compatibility, monitoring, alerts, and error policies. |\n| Integrations & Coding Patterns | L150-L169 | Patterns for integrating Stream Analytics with Kafka, Azure ML, Functions, Schema Registry, and for writing UDFs\u002Faggregates, parsing formats, and doing ML\u002Fanomaly detection. |\n| Deployment | L170-L185 | Deploying, starting\u002Fstopping, scaling, and moving Stream Analytics jobs and clusters, plus CI\u002FCD automation via ARM\u002FBicep, GitHub Actions, Azure DevOps, npm\u002FNuGet, and IoT Edge\u002FStack Hub. |\n\n### Troubleshooting\n| Topic | URL |\n|-------|-----|\n| Resolve Stream Analytics configuration error codes | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fconfiguration-error-codes |\n| Resolve Stream Analytics data error codes | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fdata-error-codes |\n| Understand Stream Analytics resource log data errors | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fdata-errors |\n| Debug Stream Analytics queries locally with Visual Studio job diagram | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fdebug-locally-using-job-diagram |\n| Debug Stream Analytics queries locally with VS Code job diagram | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fdebug-locally-using-job-diagram-vs-code |\n| Debug user-defined functions in Azure Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fdebug-user-defined-functions |\n| Resolve Stream Analytics external availability error codes | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fexternal-availability-error-codes |\n| Resolve Stream Analytics external error codes | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fexternal-error-codes |\n| Resolve Stream Analytics internal error codes | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Finternal-error-codes |\n| Use Stream Analytics job diagram and metrics to troubleshoot jobs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fjob-diagram-with-metrics |\n| Troubleshoot Stream Analytics jobs using resource logs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-job-diagnostic-logs |\n| Debug Stream Analytics jobs with logical job diagram | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-job-logical-diagram-with-metrics |\n| Use physical job diagram metrics to debug Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-job-physical-diagram-with-metrics |\n| Troubleshoot Stream Analytics input connection issues | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-troubleshoot-input |\n| Troubleshoot Stream Analytics output connection issues | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-troubleshoot-output |\n| Troubleshoot Azure Stream Analytics query problems | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-troubleshoot-query |\n\n### Best Practices\n| Topic | URL |\n|-------|-----|\n| Develop and debug Azure Stream Analytics jobs locally | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fdevelop-locally |\n| Build geofencing and geospatial aggregation with Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fgeospatial-scenarios |\n| Implement input validation patterns for Stream Analytics resiliency | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Finput-validation |\n| Optimize Stream Analytics query performance with Job Simulation | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Foptimize-query-using-job-diagram-simulator |\n| Optimize non-parallelizable Stream Analytics jobs with repartitioning | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Frepartition |\n| Apply best practices for Stream Analytics to Cosmos DB | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-documentdb-output |\n| Analyze Stream Analytics job performance using metrics and dimensions | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-job-analysis-with-metric-dimensions |\n| Improve Azure Stream Analytics job reliability and upgrades | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-job-reliability |\n| Use query parallelization to scale Stream Analytics jobs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-parallelization |\n| Scale Azure Stream Analytics jobs up and out | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-scale-jobs |\n| Scale ML Studio classic functions in Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-scale-with-machine-learning-functions |\n| Optimize Azure SQL Database output performance for Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-sql-output-perf |\n| Apply common query patterns in Azure Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-stream-analytics-query-patterns |\n| Implement configurable threshold-based alerting in Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-threshold-based-rules |\n| Design time handling strategies in Azure Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-time-handling |\n\n### Decision Making\n| Topic | URL |\n|-------|-----|\n| Select developer tools for Azure Stream Analytics jobs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Ffeature-comparison |\n| Migrate Stream Analytics projects from Visual Studio to VS Code | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fmigrate-to-vscode |\n| Choose Azure real-time and stream processing services | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstreaming-technologies |\n\n### Architecture & Design Patterns\n| Topic | URL |\n|-------|-----|\n| Design geo-redundant Azure Stream Analytics job architectures | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fgeo-redundancy |\n| Apply Azure Stream Analytics solution architecture patterns | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-solution-patterns |\n\n### Limits & Quotas\n| Topic | URL |\n|-------|-----|\n| Resize Azure Stream Analytics clusters by streaming units | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fscale-cluster |\n| Understand and tune Azure Stream Analytics streaming units | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-streaming-unit-consumption |\n\n### Security\n| Topic | URL |\n|-------|-----|\n| Configure managed identity for Azure Data Explorer outputs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fazure-data-explorer-managed-identity |\n| Authenticate Stream Analytics blob outputs with managed identity | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fblob-output-managed-identity |\n| Securely connect Stream Analytics jobs to Azure VNets | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fconnect-job-to-vnet |\n| Use managed identities for Cosmos DB outputs in Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fcosmos-db-managed-identity |\n| Configure data protection for Azure Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fdata-protection |\n| Access Event Hubs from Stream Analytics with managed identities | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fevent-hubs-managed-identity |\n| Apply built-in Azure Policy definitions to Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fpolicy-reference |\n| Authenticate Stream Analytics Power BI outputs via managed identity | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fpowerbi-output-managed-identity |\n| Configure Stream Analytics cluster managed private endpoints | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fprivate-endpoints |\n| Run Stream Analytics jobs inside Azure virtual networks | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Frun-job-in-virtual-network |\n| Apply Azure Policy compliance controls to Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fsecurity-controls-policy |\n| Send Stream Analytics outputs to Service Bus with managed identity | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fservice-bus-managed-identity |\n| Use managed identities for SQL Database and Synapse outputs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fsql-database-output-managed-identity |\n| Rotate input and output credentials for Azure Stream Analytics jobs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-login-credentials-inputs-outputs |\n| Use managed identities with Azure Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-managed-identities-overview |\n| Configure user-assigned managed identities for Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-user-assigned-managed-identity-overview |\n\n### Configuration\n| Topic | URL |\n|-------|-----|\n| Configure Azure Cosmos DB as Stream Analytics output | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fazure-cosmos-db-output |\n| Configure Azure Data Explorer as Stream Analytics output | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fazure-database-explorer-output |\n| Connect Azure Stream Analytics outputs to Azure Functions | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fazure-functions-output |\n| Configure Azure Synapse Analytics dedicated SQL pool as Stream Analytics output | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fazure-synapse-analytics-output |\n| Configure Blob Storage and Data Lake Gen2 outputs for Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fblob-storage-azure-data-lake-gen2-output |\n| Configure Stream Analytics autoscale settings via CI\u002FCD tool | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fcicd-autoscale |\n| Configure Azure Event Hubs as output for Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fevent-hubs-output |\n| Configure late arrival and out-of-order event policies in Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fevent-ordering |\n| Reference for Stream Analytics JobConfig.json fields in VS Code | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fjob-config-json |\n| Configure Kafka output for Azure Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fkafka-output |\n| Configure monitoring for Azure Stream Analytics with Azure Monitor | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fmonitor-azure-stream-analytics |\n| Reference for Azure Stream Analytics monitoring metrics and logs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fmonitor-azure-stream-analytics-reference |\n| Configure Azure Database for PostgreSQL as Stream Analytics output | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fpostgresql-database-output |\n| Configure Power BI output for Azure Stream Analytics visualizations | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fpower-bi-output |\n| Configure Service Bus queues as Stream Analytics output | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fservice-bus-queues-output |\n| Configure Service Bus topics as Stream Analytics output | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fservice-bus-topics-output |\n| Configure Azure SQL Database as Stream Analytics output | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fsql-database-output |\n| Configure Azure SQL Database as Stream Analytics output | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fsql-db-table |\n| Use Azure SQL Database as reference data input for Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fsql-reference-data |\n| Configure compatibility levels for Azure Stream Analytics jobs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-compatibility-level |\n| Set custom blob output partitioning for Stream Analytics jobs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-custom-path-patterns-blob-storage-output |\n| Configure input sources for Azure Stream Analytics jobs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-define-inputs |\n| Monitor and manage Stream Analytics jobs with PowerShell | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-monitor-and-manage-jobs-use-powershell |\n| Programmatically enable and configure Stream Analytics job monitoring | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-monitor-jobs |\n| Monitor Stream Analytics jobs using Azure portal metrics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-monitoring |\n| Configure output error handling policies in Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-output-error-policy |\n| Configure Protobuf input deserialization in Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-parsing-protobuf |\n| Set up Azure Monitor alerts for Stream Analytics jobs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-set-up-alerts |\n| Use reference data lookups in Azure Stream Analytics queries | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-use-reference-data |\n| Set up Azure Table storage output for Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Ftable-storage-output |\n| Configure Azure Stream Analytics to write to Delta Lake tables | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fwrite-to-delta-lake |\n\n### Integrations & Coding Patterns\n| Topic | URL |\n|-------|-----|\n| Use Confluent Cloud Kafka as Stream Analytics input | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fconfluent-kafka-input |\n| Send Stream Analytics output to Confluent Cloud Kafka | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fconfluent-kafka-output |\n| Integrate Azure Machine Learning models as Stream Analytics UDFs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fmachine-learning-udf |\n| Use Azure Functions to upsert SQL data from Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fsql-database-upsert |\n| Connect Azure Stream Analytics jobs to Kafka streams | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-define-kafka-input |\n| Manage Stream Analytics jobs with .NET Management SDK | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-dotnet-management-sdk |\n| Write C# user-defined functions for Stream Analytics in Visual Studio | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-edge-csharp-udf |\n| Develop .NET Standard user-defined functions for Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-edge-csharp-udf-methods |\n| Implement linear regression in Stream Analytics for trading | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-high-frequency-trading |\n| Configure ML Studio classic endpoints in Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-how-to-configure-azure-machine-learning-endpoints-in-stream-analytics |\n| Create JavaScript user-defined aggregates in Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-javascript-user-defined-aggregates |\n| Implement JavaScript user-defined functions in Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-javascript-user-defined-functions |\n| Use built-in ML anomaly detection in Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-machine-learning-anomaly-detection |\n| Integrate Stream Analytics with Azure Machine Learning Studio (classic) | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-machine-learning-integration-tutorial |\n| Parse JSON, Avro, and complex data in Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-parsing-json |\n| Integrate Azure Stream Analytics with Event Hubs Schema Registry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-schema-registry-integration |\n\n### Deployment\n| Topic | URL |\n|-------|-----|\n| Generate and deploy Stream Analytics jobs with Bicep | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fcicd-deploy-with-bicep |\n| Deploy Stream Analytics jobs using GitHub Actions workflows | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fcicd-github-actions |\n| Use ASA CI\u002FCD npm package to build and deploy jobs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fcicd-tools |\n| Move Azure Stream Analytics clusters across regions | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fmove-cluster |\n| Deploy Stream Analytics edge jobs to Azure Stack Hub | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fon-azure-stack |\n| Export Stream Analytics jobs as ARM templates | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fresource-manager-export |\n| Set up Azure DevOps CI\u002FCD for Stream Analytics | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fset-up-cicd-pipeline |\n| Start Azure Stream Analytics jobs via portal, PowerShell, and Visual Studio | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstart-job |\n| Configure autoscale streaming units for Stream Analytics jobs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-autoscale |\n| Implement CI\u002FCD for Stream Analytics on IoT Edge via REST | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fstream-analytics\u002Fstream-analytics-cicd-api |\n| Stop and delete 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