microsoftdocs/agent-skills/azure-data-explorer
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Expert 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/MI), automating cluster/schema deploys, tuning ingestion/queries, or integrating via ODBC/JDBC/Power BI, and other Azure Data Explorer related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics).
Install
npx vskill@latest install microsoftdocs/agent-skills/azure-data-explorerSKILL.md
Azure Data Explorer Skill
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: Ifmetadata.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, connection, creation, ingestion, dashboard, DB/table, private endpoint, and resource health issues, including error codes and common failure patterns. | |
| 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
| Topic | URL | |
|---|---|---|
| Monitor and troubleshoot Azure Data Explorer cluster health | https://learn.microsoft.com/en-us/azure/data-explorer/check-cluster-health | |
| Diagnose and fix Azure Data Explorer dashboard tile errors | https://learn.microsoft.com/en-us/azure/data-explorer/dashboard-troubleshoot-tile-errors | |
| Diagnose Azure Data Explorer ingestion errors by code | https://learn.microsoft.com/en-us/azure/data-explorer/error-codes | |
| Resolve common Azure Data Explorer ingestion issues | https://learn.microsoft.com/en-us/azure/data-explorer/ingestion-faq | |
| Use Resource Health to diagnose ADX issues | https://learn.microsoft.com/en-us/azure/data-explorer/monitor-with-resource-health | |
| Troubleshoot Azure Data Explorer private endpoint issues | https://learn.microsoft.com/en-us/azure/data-explorer/security-network-private-endpoint-troubleshoot | |
| Fix Azure Data Explorer cluster connection issues | https://learn.microsoft.com/en-us/azure/data-explorer/troubleshoot-connect-cluster | |
| Troubleshoot Azure Data Explorer cluster creation failures | https://learn.microsoft.com/en-us/azure/data-explorer/troubleshoot-create-cluster | |
| Resolve Azure Data Explorer DB and table operation failures | https://learn.microsoft.com/en-us/azure/data-explorer/troubleshoot-database-table |
Best Practices
| Topic | URL | |
|---|---|---|
| Apply Azure Advisor recommendations to optimize Data Explorer clusters | https://learn.microsoft.com/en-us/azure/data-explorer/azure-advisor | |
| Handle duplicate data in Azure Data Explorer | https://learn.microsoft.com/en-us/azure/data-explorer/dealing-with-duplicates | |
| Optimize Azure Data Explorer clusters for high-concurrency workloads | https://learn.microsoft.com/en-us/azure/data-explorer/high-concurrency | |
| Use hot windows to efficiently query cold data in Azure Data Explorer | https://learn.microsoft.com/en-us/azure/data-explorer/hot-windows | |
| Ingest JSON into Azure Data Explorer with KQL, C#, and Python | https://learn.microsoft.com/en-us/azure/data-explorer/ingest-json-formats | |
| Monitor queued ingestion metrics in ADX | https://learn.microsoft.com/en-us/azure/data-explorer/monitor-queued-ingestion | |
| Apply Power BI best practices for Azure Data Explorer | https://learn.microsoft.com/en-us/azure/data-explorer/power-bi-best-practices | |
| Optimize Azure Data Explorer table schema design | https://learn.microsoft.com/en-us/azure/data-explorer/schema-best-practice |
Decision Making
| Topic | URL | |
|---|---|---|
| Choose Azure Data Explorer business continuity options | https://learn.microsoft.com/en-us/azure/data-explorer/business-continuity-overview | |
| Deploy Azure Data Explorer with confidential compute | https://learn.microsoft.com/en-us/azure/data-explorer/confidential-compute | |
| Decide when to use streaming ingestion in Azure Data Explorer | https://learn.microsoft.com/en-us/azure/data-explorer/ingest-data-streaming | |
| Select isolated compute SKUs for Data Explorer clusters | https://learn.microsoft.com/en-us/azure/data-explorer/isolated-compute | |
| Choose optimal Azure Data Explorer compute SKU | https://learn.microsoft.com/en-us/azure/data-explorer/manage-cluster-choose-sku | |
| Plan vertical scaling and SKU changes for clusters | https://learn.microsoft.com/en-us/azure/data-explorer/manage-cluster-vertical-scaling | |
| Migrate Elasticsearch workloads to Azure Data Explorer | https://learn.microsoft.com/en-us/azure/data-explorer/migrate-elasticsearch-to-azure-data-explorer | |
| Use ADX pricing calculator for cluster planning | https://learn.microsoft.com/en-us/azure/data-explorer/pricing-calculator | |
| Optimize ADX cost per GB ingested | https://learn.microsoft.com/en-us/azure/data-explorer/pricing-cost-drivers | |
| Understand ADX reservation discount application | https://learn.microsoft.com/en-us/azure/data-explorer/pricing-reservation-discount | |
| Choose and purchase Azure Data Explorer reserved capacity | https://learn.microsoft.com/en-us/azure/data-explorer/pricing-reserved-capacity |
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 |
This is the start of the file. Read the full SKILL.md on GitHub.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
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Source
- SKILL.md in the repositoryCheckingskills/azure-data-explorer/SKILL.md
Popularity
- Repository stars
- 725
- Repository forks
- 117
- 7-day trend score
- 33
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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