💼 ビジネスコミュニティ

azure-stream-analytics

Azure Stream Analyticsの設計、開発、トラブルシューティング、セキュリティ、連携など、幅広い専門知識を活用して、リアルタイムデータ処理ジョブを構築するSkill。

📜 元の英語説明(参考)

Expert knowledge for Azure Stream Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building ASA jobs with Event Hubs/Kafka, Cosmos DB/SQL outputs, ML/AML scoring, UDFs, or IoT Edge, and other Azure Stream Analytics related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Explorer (use azure-data-explorer), Azure Event Hubs (use azure-event-hubs), Azure Functions (use azure-functions).

🇯🇵 日本人クリエイター向け解説

一言でいうと

※ jpskill.com 編集部が日本のビジネス現場向けに補足した解説です。Skill本体の挙動とは独立した参考情報です。

⬇ このSkillをダウンロード(.skill) 元のソースを見る ↗

⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。

🎯 このSkillでできること

下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。

📦 インストール方法 (3ステップ)

1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
3. 展開してできたフォルダを、ホームフォルダの .claude/skills/ に置く
- · macOS / Linux: ~/.claude/skills/
- · Windows: %USERPROFILE%\.claude\skills\

Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。

詳しい使い方ガイドを見る →

最終更新: 2026-05-17
取得日時: 2026-05-17
同梱ファイル: 1

📖 Skill本文(日本語訳)

※ 原文(英語/中国語)を Gemini で日本語化したものです。Claude 自身は原文を読みます。誤訳がある場合は原文をご確認ください。

Azure Stream Analytics スキル

このスキルは、Azure Stream Analytics に関する専門的なガイダンスを提供します。トラブルシューティング、ベストプラクティス、意思決定、アーキテクチャと設計パターン、制限とクォータ、セキュリティ、構成、統合とコーディングパターン、デプロイメントを網羅しています。ローカルのクイックリファレンスコンテンツとリモートのドキュメント取得機能を組み合わせています。

このスキルの使い方

エージェントへの重要事項: 以下のカテゴリインデックスを使用して、関連するセクションを見つけてください。行範囲が指定されているカテゴリ（例: L35-L120）の場合は、指定された行で read_file を使用してください。ファイルリンクが指定されているカテゴリ（例: [security.md](security.md)）の場合は、リンクされた参照ファイルで read_file を使用してください。

エージェントへの重要事項: metadata.generated_at が3ヶ月以上前の場合は、ユーザーにリポジトリから最新バージョンをプルするよう提案してください。mcp_microsoftdocs ツールが利用できない場合は、ユーザーにインストールを提案してください: インストールガイド

このスキルは、ドキュメントコンテンツを取得するためにネットワークアクセスを必要とします。

推奨: クエリ文字列 from=learn-agent-skill を指定して mcp_microsoftdocs:microsoft_docs_fetch を使用します。Markdown を返します。
フォールバック: クエリ文字列 from=learn-agent-skill&accept=text/markdown を指定して fetch_webpage を使用します。Markdown を返します。

カテゴリインデックス

カテゴリ	行	説明
トラブルシューティング	L37-L56	Stream Analytics ジョブの問題の診断と修正: エラーコード（構成/データ/外部/内部）、入力/出力接続の失敗、クエリ/UDF のバグ、および図、メトリック、リソースログを使用したデバッグ。
ベストプラクティス	L57-L75	Stream Analytics ジョブの設計、クエリパターン、パフォーマンスチューニング、スケーリング、信頼性、時間処理、地理空間ロジック、ML/Cosmos/SQL 出力、およびアラートに関するベストプラクティス。
意思決定	L76-L83	Stream Analytics ソリューションを設計するためのツール選択、移行パス、自動スケーリングオプション、および Azure のリアルタイム/ストリーム処理サービスの比較に関するガイダンス。
アーキテクチャと設計パターン	L84-L88	参照トポロジと高可用性ジョブ設計を含む、回復性のある地理冗長な Azure Stream Analytics ソリューションを設計するためのアーキテクチャパターンとベストプラクティス。
制限とクォータ	L89-L94	Stream Analytics のストリーミングユニットとクラスターの構成とチューニング。サイズ変更、パフォーマンスのスケーリング、容量制限とリソースクォータの理解方法を含む。
セキュリティ	L95-L114	マネージドID、プライベートエンドポイント、VNet、データ保護、資格情報ローテーション、および Event Hubs、SQL、Cosmos DB、Blob、Service Bus、Power BI などの出力に対する Azure Policy を使用した Stream Analytics のセキュリティ保護。
構成	L115-L148	Stream Analytics ジョブの構成: 入力/出力（SQL、Cosmos DB、Event Hubs、Kafka、Power BI、Delta Lake など）、パーティショニング、自動スケーリング、互換性、監視、およびエラー/遅延イベントポリシー。
統合とコーディングパターン	L149-L168	Stream Analytics と Kafka、Event Hubs、ML/AML、スキーマレジストリの統合、および UDF/集計の実装、.NET SDK 管理、JSON/Avro 解析、ML/異常パターン。
デプロイメント	L169-L182	Stream Analytics ジョブとクラスターのデプロイ、開始/停止、スケーリング、移動、および ARM/Bicep、GitHub Actions、Azure DevOps、npm/NuGet、IoT Edge/Stack Hub を介した CI/CD 自動化。

トラブルシューティング

トピック	URL
Stream Analytics の構成エラーコードを解決する	https://learn.microsoft.com/en-us/azure/stream-analytics/configuration-error-codes
Stream Analytics のデータエラーコードを解決する	https://learn.microsoft.com/en-us/azure/stream-analytics/data-error-codes
Stream Analytics のリソースログのデータエラーを理解する	https://learn.microsoft.com/en-us/azure/stream-analytics/data-errors
Visual Studio のジョブ図を使用して Stream Analytics クエリをローカルでデバッグする	https://learn.microsoft.com/en-us/azure/stream-analytics/debug-locally-using-job-diagram
VS Code のジョブ図を使用して Stream Analytics クエリをローカルでデバッグする	https://learn.microsoft.com/en-us/azure/stream-analytics/debug-locally-using-job-diagram-vs-code
Azure Stream Analytics でユーザー定義関数をデバッグする	https://learn.microsoft.com/en-us/azure/stream-analytics/debug-user-defined-functions
Stream Analytics の外部可用性エラーコードを解決する	https://learn.microsoft.com/en-us/azure/stream-analytics/external-availability-error-codes
Stream Analytics の外部エラーコードを解決する	https://learn.microsoft.com/en-us/azure/stream-analytics/external-error-codes
Stream Analytics の内部エラーコードを解決する	https://learn.microsoft.com/en-us/azure/stream-analytics/internal-error-codes
Stream Analytics のジョブ図とメトリックを使用してジョブをトラブルシューティングする	https://learn.microsoft.com/en-us/azure/stream-analytics/job-diagram-with-metrics
リソースログを使用して Stream Analytics ジョブをトラブルシューティングする	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-diagnostic-logs
論理ジョブ図を使用して Stream Analytics ジョブをデバッグする	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-logical-diagram-with-metrics
物理ジョブ図のメトリックを使用して Stream Analytics をデバッグする	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-physical-diagram-with-metrics
Stream Analytics の入力接続の問題をトラブルシューティングする	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-troubleshoot-input
Stream Analytics の出力接続の問題をトラブルシューティングする	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-troubleshoot-output
Azure Stream Analytics のクエリの問題をトラブルシューティングする	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-troubleshoot-query

ベストプラクティス

トピック	URL
Azure Stream Analytics ジョブをローカルで開発およびデバッグする	https://learn.microsoft.com/en-us/azure/stream-analytics/develop-locally
Buil

📜 原文 SKILL.md(Claudeが読む英語/中国語)を展開

Azure Stream Analytics Skill

This 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.

How to Use This Skill

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

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

This skill requires network access to fetch documentation content:

Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

Category	Lines	Description
Troubleshooting	L37-L56	Diagnosing and fixing Stream Analytics job issues: error codes (config/data/external/internal), input/output connection failures, query/UDF bugs, and using diagrams, metrics, and resource logs to debug.
Best Practices	L57-L75	Best practices for Stream Analytics job design, query patterns, performance tuning, scaling, reliability, time handling, geospatial logic, ML/Cosmos/SQL outputs, and alerting.
Decision Making	L76-L83	Guidance on choosing tools, migration paths, autoscaling options, and comparing Azure real-time/stream processing services for designing Stream Analytics solutions.
Architecture & Design Patterns	L84-L88	Architectural patterns and best practices for designing resilient, geo-redundant Azure Stream Analytics solutions, including reference topologies and high-availability job designs.
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.
Security	L95-L114	Securing Stream Analytics with managed identities, private endpoints, VNets, data protection, credential rotation, and Azure Policy for outputs like Event Hubs, SQL, Cosmos DB, Blob, Service Bus, Power BI.
Configuration	L115-L148	Configuring Stream Analytics jobs: inputs/outputs (SQL, Cosmos DB, Event Hubs, Kafka, Power BI, Delta Lake, etc.), partitioning, autoscale, compatibility, monitoring, and error/late-event policies.
Integrations & Coding Patterns	L149-L168	Integrating Stream Analytics with Kafka, Event Hubs, ML/AML, schema registry, and implementing UDFs/aggregates, .NET SDK management, JSON/Avro parsing, and ML/anomaly patterns.
Deployment	L169-L182	Deploying, starting/stopping, scaling, and moving Stream Analytics jobs and clusters, plus CI/CD automation via ARM/Bicep, GitHub Actions, Azure DevOps, npm/NuGet, and IoT Edge/Stack Hub.

Troubleshooting

Topic	URL
Resolve Stream Analytics configuration error codes	https://learn.microsoft.com/en-us/azure/stream-analytics/configuration-error-codes
Resolve Stream Analytics data error codes	https://learn.microsoft.com/en-us/azure/stream-analytics/data-error-codes
Understand Stream Analytics resource log data errors	https://learn.microsoft.com/en-us/azure/stream-analytics/data-errors
Debug Stream Analytics queries locally with Visual Studio job diagram	https://learn.microsoft.com/en-us/azure/stream-analytics/debug-locally-using-job-diagram
Debug Stream Analytics queries locally with VS Code job diagram	https://learn.microsoft.com/en-us/azure/stream-analytics/debug-locally-using-job-diagram-vs-code
Debug user-defined functions in Azure Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/debug-user-defined-functions
Resolve Stream Analytics external availability error codes	https://learn.microsoft.com/en-us/azure/stream-analytics/external-availability-error-codes
Resolve Stream Analytics external error codes	https://learn.microsoft.com/en-us/azure/stream-analytics/external-error-codes
Resolve Stream Analytics internal error codes	https://learn.microsoft.com/en-us/azure/stream-analytics/internal-error-codes
Use Stream Analytics job diagram and metrics to troubleshoot jobs	https://learn.microsoft.com/en-us/azure/stream-analytics/job-diagram-with-metrics
Troubleshoot Stream Analytics jobs using resource logs	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-diagnostic-logs
Debug Stream Analytics jobs with logical job diagram	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-logical-diagram-with-metrics
Use physical job diagram metrics to debug Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-physical-diagram-with-metrics
Troubleshoot Stream Analytics input connection issues	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-troubleshoot-input
Troubleshoot Stream Analytics output connection issues	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-troubleshoot-output
Troubleshoot Azure Stream Analytics query problems	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-troubleshoot-query

Best Practices

Topic	URL
Develop and debug Azure Stream Analytics jobs locally	https://learn.microsoft.com/en-us/azure/stream-analytics/develop-locally
Build geofencing and geospatial aggregation with Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/geospatial-scenarios
Implement input validation patterns for Stream Analytics resiliency	https://learn.microsoft.com/en-us/azure/stream-analytics/input-validation
Optimize Stream Analytics query performance with Job Simulation	https://learn.microsoft.com/en-us/azure/stream-analytics/optimize-query-using-job-diagram-simulator
Optimize non-parallelizable Stream Analytics jobs with repartitioning	https://learn.microsoft.com/en-us/azure/stream-analytics/repartition
Apply best practices for Stream Analytics to Cosmos DB	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-documentdb-output
Analyze Stream Analytics job performance using metrics and dimensions	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-analysis-with-metric-dimensions
Improve Azure Stream Analytics job reliability and upgrades	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-reliability
Optimize Azure Stream Analytics with query parallelization	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parallelization
Scale Azure Stream Analytics jobs up and out	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-scale-jobs
Scale ML Studio classic functions in Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-scale-with-machine-learning-functions
Optimize Azure SQL Database output performance for Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-sql-output-perf
Apply common query patterns in Azure Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-stream-analytics-query-patterns
Implement configurable threshold-based alerting in Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-threshold-based-rules
Design time handling and lateness in Azure Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-time-handling

Decision Making

Topic	URL
Select developer tools for Azure Stream Analytics jobs	https://learn.microsoft.com/en-us/azure/stream-analytics/feature-comparison
Migrate Stream Analytics projects from Visual Studio to VS Code	https://learn.microsoft.com/en-us/azure/stream-analytics/migrate-to-vscode
Choose and configure autoscale for Stream Analytics SUs	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-autoscale
Choose Azure real-time and stream processing services	https://learn.microsoft.com/en-us/azure/stream-analytics/streaming-technologies

Architecture & Design Patterns

Topic	URL
Design geo-redundant Azure Stream Analytics job architectures	https://learn.microsoft.com/en-us/azure/stream-analytics/geo-redundancy

Limits & Quotas

Topic	URL
Resize Azure Stream Analytics clusters by streaming units	https://learn.microsoft.com/en-us/azure/stream-analytics/scale-cluster
Understand and tune Azure Stream Analytics streaming units	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-streaming-unit-consumption

Security

Topic	URL
Configure managed identity for Azure Data Explorer outputs	https://learn.microsoft.com/en-us/azure/stream-analytics/azure-data-explorer-managed-identity
Configure managed identity auth for Stream Analytics Blob output	https://learn.microsoft.com/en-us/azure/stream-analytics/blob-output-managed-identity
Securely connect Stream Analytics jobs to Azure VNets	https://learn.microsoft.com/en-us/azure/stream-analytics/connect-job-to-vnet
Use managed identities for Cosmos DB outputs in Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/cosmos-db-managed-identity
Configure data protection for Azure Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/data-protection
Access Event Hubs from Stream Analytics with managed identities	https://learn.microsoft.com/en-us/azure/stream-analytics/event-hubs-managed-identity
Apply built-in Azure Policy definitions to Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/policy-reference
Set up managed identity authentication for Stream Analytics Power BI output	https://learn.microsoft.com/en-us/azure/stream-analytics/powerbi-output-managed-identity
Configure Stream Analytics cluster managed private endpoints	https://learn.microsoft.com/en-us/azure/stream-analytics/private-endpoints
Run Stream Analytics jobs inside Azure virtual networks	https://learn.microsoft.com/en-us/azure/stream-analytics/run-job-in-virtual-network
Apply Azure Policy compliance controls to Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/security-controls-policy
Send Stream Analytics outputs to Service Bus with managed identity	https://learn.microsoft.com/en-us/azure/stream-analytics/service-bus-managed-identity
Use managed identities from Stream Analytics to Azure SQL and Synapse	https://learn.microsoft.com/en-us/azure/stream-analytics/sql-database-output-managed-identity
Rotate input and output credentials for Azure Stream Analytics jobs	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-login-credentials-inputs-outputs
Use managed identities with Azure Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-managed-identities-overview
Configure user-assigned managed identities for Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-user-assigned-managed-identity-overview

Configuration

Topic	URL
Configure Azure Cosmos DB as Stream Analytics output	https://learn.microsoft.com/en-us/azure/stream-analytics/azure-cosmos-db-output
Configure Azure Data Explorer as Stream Analytics output	https://learn.microsoft.com/en-us/azure/stream-analytics/azure-database-explorer-output
Connect Azure Stream Analytics outputs to Azure Functions	https://learn.microsoft.com/en-us/azure/stream-analytics/azure-functions-output
Configure Azure Synapse Analytics dedicated SQL pool as Stream Analytics output	https://learn.microsoft.com/en-us/azure/stream-analytics/azure-synapse-analytics-output
Configure Blob Storage and Data Lake Gen2 outputs for Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/blob-storage-azure-data-lake-gen2-output
Configure Stream Analytics autoscale settings via CI/CD tool	https://learn.microsoft.com/en-us/azure/stream-analytics/cicd-autoscale
Configure Azure Event Hubs as output for Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/event-hubs-output
Configure late arrival and out-of-order event policies in Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/event-ordering
Reference for Stream Analytics JobConfig.json fields in VS Code	https://learn.microsoft.com/en-us/azure/stream-analytics/job-config-json
Configure Kafka output for Azure Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/kafka-output
Configure monitoring for Azure Stream Analytics with Azure Monitor	https://learn.microsoft.com/en-us/azure/stream-analytics/monitor-azure-stream-analytics
Reference for Azure Stream Analytics monitoring metrics and logs	https://learn.microsoft.com/en-us/azure/stream-analytics/monitor-azure-stream-analytics-reference
Configure Azure Database for PostgreSQL as Stream Analytics output	https://learn.microsoft.com/en-us/azure/stream-analytics/postgresql-database-output
Configure Power BI as an Azure Stream Analytics output	https://learn.microsoft.com/en-us/azure/stream-analytics/power-bi-output
Configure Service Bus queues as Stream Analytics output	https://learn.microsoft.com/en-us/azure/stream-analytics/service-bus-queues-output
Configure Service Bus topics as Stream Analytics output	https://learn.microsoft.com/en-us/azure/stream-analytics/service-bus-topics-output
Configure Azure SQL Database as Stream Analytics output	https://learn.microsoft.com/en-us/azure/stream-analytics/sql-database-output
Configure Azure SQL Database as Stream Analytics output	https://learn.microsoft.com/en-us/azure/stream-analytics/sql-db-table
Use Azure SQL Database as reference data input for Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/sql-reference-data
Configure compatibility levels for Azure Stream Analytics jobs	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-compatibility-level
Set custom blob output partitioning for Stream Analytics jobs	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-custom-path-patterns-blob-storage-output
Configure input sources for Azure Stream Analytics jobs	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-inputs
Monitor and manage Stream Analytics jobs with PowerShell	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-monitor-and-manage-jobs-use-powershell
Programmatically enable and configure Stream Analytics job monitoring	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-monitor-jobs
Monitor Stream Analytics jobs using Azure portal metrics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-monitoring
Configure output error handling policies in Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-output-error-policy
Configure Protobuf input deserialization in Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parsing-protobuf
Set up Azure Monitor alerts for Stream Analytics jobs	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-set-up-alerts
Set up Azure Table storage output for Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/table-storage-output
Configure Azure Stream Analytics output to Delta Lake	https://learn.microsoft.com/en-us/azure/stream-analytics/write-to-delta-lake

Integrations & Coding Patterns

Topic	URL
Use Confluent Cloud Kafka as Stream Analytics input	https://learn.microsoft.com/en-us/azure/stream-analytics/confluent-kafka-input
Send Stream Analytics output to Confluent Cloud Kafka	https://learn.microsoft.com/en-us/azure/stream-analytics/confluent-kafka-output
Integrate Azure Machine Learning models as Stream Analytics UDFs	https://learn.microsoft.com/en-us/azure/stream-analytics/machine-learning-udf
Implement SQL UPDATE/UPSERT via Azure Functions from Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/sql-database-upsert
Connect Azure Stream Analytics jobs to Kafka streams	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-kafka-input
Manage Stream Analytics jobs with .NET Management SDK	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-dotnet-management-sdk
Write C# user-defined functions for Stream Analytics in Visual Studio	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge-csharp-udf
Develop .NET Standard user-defined functions for Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge-csharp-udf-methods
Implement linear regression in Stream Analytics for trading	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-high-frequency-trading
Configure ML Studio classic endpoints in Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-how-to-configure-azure-machine-learning-endpoints-in-stream-analytics
Create JavaScript user-defined aggregates in Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-javascript-user-defined-aggregates
Implement JavaScript user-defined functions in Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-javascript-user-defined-functions
Use built-in ML anomaly detection in Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-anomaly-detection
Integrate Stream Analytics with Azure Machine Learning Studio (classic)	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-integration-tutorial
Parse JSON, Avro, and complex data in Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parsing-json
Integrate Azure Stream Analytics with Event Hubs Schema Registry	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-schema-registry-integration

Deployment

Topic	URL
Generate and deploy Stream Analytics jobs with Bicep	https://learn.microsoft.com/en-us/azure/stream-analytics/cicd-deploy-with-bicep
Deploy Stream Analytics jobs using GitHub Actions workflows	https://learn.microsoft.com/en-us/azure/stream-analytics/cicd-github-actions
Move Azure Stream Analytics clusters across regions	https://learn.microsoft.com/en-us/azure/stream-analytics/move-cluster
Deploy Stream Analytics edge jobs to Azure Stack Hub	https://learn.microsoft.com/en-us/azure/stream-analytics/on-azure-stack
Export Stream Analytics jobs as ARM templates	https://learn.microsoft.com/en-us/azure/stream-analytics/resource-manager-export
Set up Azure DevOps CI/CD for Stream Analytics	https://learn.microsoft.com/en-us/azure/stream-analytics/set-up-cicd-pipeline
Start Azure Stream Analytics jobs via portal, PowerShell, and Visual Studio	https://learn.microsoft.com/en-us/azure/stream-analytics/start-job
Implement CI/CD for Stream Analytics on IoT Edge via REST	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-cicd-api
Stop and delete Azure Stream Analytics jobs safely	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-clean-up-your-job
Deploy Azure Stream Analytics jobs to IoT Edge devices	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge
Use Stream Analytics CI/CD NuGet package with MSBuild	https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-tools-for-visual-studio-cicd