Azure Data Explorer Skill
SkillCloud & infraExpert knowledge for Azure Data Explorer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when securing ADX (RBAC, managed identities), automating cluster/schema deployment, integrating via ODBC/JDBC, tuning ingestion, or designing DR/multitenant architectures, and other Azure Data Explorer related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Stream Analytics (use azure-stream-analytics), Azure HDInsight (use azure-hdinsight), Azure Databricks (use azure-databricks).
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Azure Data Explorer Skill skill
What this skill tells your AI
The instructions your AI receives, as published by microsoftdocs/agent-skills in skills/azure-data-explorer/SKILL.md and read by ahel’s review.
This skill provides expert guidance for Azure Data Explorer. 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), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools 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_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L37-L49 | Diagnosing and fixing ADX cluster health, creation, connection, private endpoint, ingestion, and DB/table operation errors, including interpreting ingestion error codes and using Resource Health. |
| Best Practices | L50-L61 | Guidance on optimizing ADX clusters and schemas, handling duplicates and JSON ingestion, tuning for high concurrency, monitoring queued ingestion, using hot windows, and applying Power BI best practices. |
| Decision Making | L62-L76 | Guidance on ADX capacity planning, SKU and compute choices, scaling, cost optimization, reservations, business continuity, confidential compute, streaming ingestion, and Elasticsearch migration. |
| Architecture & Design Patterns | L77-L83 | Designing ADX architectures for DR/BCP, cross-cluster access via follower DBs, and multitenant patterns (isolation, scaling, and resource sharing). |
| Limits & Quotas | L84-L93 | Cluster limits and behaviors: free cluster quotas, auto-stop, safe delete/recover, ingestion file size and invalid data handling, and supported data/compression formats. |
| Security | L94-L121 | Securing Azure Data Explorer: authn/z (RBAC, principals, Entra apps, Conditional Access), encryption, managed identities, network isolation, policies, data purging, and outbound/public access control. |
| Configuration | L122-L136 | Configuring ADX environments: database/table policies, retention/cache, cross-tenant Event Hubs, Kusto emulator, plugins, monitoring, schema sync, T-SQL, and web UI settings/shortcuts. |
| Integrations & Coding Patterns | L137-L171 | Integrating Azure Data Explorer with tools and platforms (SQL, ODBC/JDBC, Power Automate/Apps, Functions, Grafana, Splunk, OpenTelemetry, etc.) and coding patterns for querying, ingestion, and automation. |
| Deployment | L172-L178 | Automating ADX cluster provisioning and schema deployment, plus guidance for migrating clusters to availability zones and from VNet injection to private endpoints. |
Troubleshooting
Best Practices
Decision Making
Architecture & Design Patterns
| Topic | URL |
|---|---|
| Design Azure Data Explorer business continuity and DR | https://learn.microsoft.com/en-us/azure/data-explorer/business-continuity-create-solution |
| Use follower databases for cross-cluster ADX access | https://learn.microsoft.com/en-us/azure/data-explorer/follower |
| Choose multitenant architectures for Azure Data Explorer | https://learn.microsoft.com/en-us/azure/data-explorer/multi-tenant |
Limits & Quotas
| Topic | URL |
|---|---|
| Understand automatic stop behavior for inactive clusters | https://learn.microsoft.com/en-us/azure/data-explorer/auto-stop-clusters |
| Apply Event Grid ingestion file size limits in Azure Data Explorer | https://learn.microsoft.com/en-us/azure/data-explorer/create-event-grid-connection |
| Delete and recover Azure Data Explorer clusters safely | https://learn.microsoft.com/en-us/azure/data-explorer/delete-cluster |
| Understand invalid data behavior during ADX ingestion | https://learn.microsoft.com/en-us/azure/data-explorer/ingest-invalid-data |
| Supported data and compression formats for Azure Data Explorer ingestion | https://learn.microsoft.com/en-us/azure/data-explorer/ingestion-supported-formats |
| Upgrade free Azure Data Explorer clusters and remove limits | https://learn.microsoft.com/en-us/azure/data-explorer/start-for-free-upgrade |
Security
Configuration
Integrations & Coding Patterns
Deployment
| Topic | URL |
|---|---|
| Automate provisioning of Azure Data Explorer environments | https://learn.microsoft.com/en-us/azure/data-explorer/automated-deploy-overview |
| Use Azure DevOps pipelines for Azure Data Explorer schema deployment | https://learn.microsoft.com/en-us/azure/data-explorer/devops |
| Migrate Azure Data Explorer clusters to multiple availability zones | https://learn.microsoft.com/en-us/azure/data-explorer/migrate-cluster-to-multiple-availability-zone |
| Migrate Azure Data Explorer VNet injection to private endpoints | https://learn.microsoft.com/en-us/azure/data-explorer/security-network-migrate-vnet-to-private-endpoint |
Signals
- GitHub stars
- 740
- Forks
- 119
- Last commit
- Sep 2026
ahel review
S4info
community integration — published by microsoftdocs, not azure
Automated review, not a security audit. Ruleset v1.
Advanced
- Catalog kind
- skill
- Gateway key
azure-data-explorer- Source
- github.com/microsoftdocs/agent-skills