Azure Data Factory Skill
SkillCloud & infraExpert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building ADF pipelines, mapping data flows, SSIS IR/SHIR, CI/CD deployments, or SAP/SaaS integrations, and other Azure Data Factory related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Databricks (use azure-databricks), Azure Synapse Analytics (use azure-synapse-analytics), Azure Stream Analytics (use azure-stream-analytics).
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 Factory Skill skill
What this skill tells your AI
The instructions your AI receives, as published by microsoftdocs/agent-skills in skills/azure-data-factory/SKILL.md and read by ahel’s review.
This skill provides expert guidance for Azure Data Factory. 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-L91 | Diagnosing and fixing ADF failures: connector/format errors, CDC, pipelines, triggers, data flows, SHIR/SSIS IR, performance, security, and known issues with concrete error patterns and workarounds. |
| Best Practices | L92-L114 | Performance tuning, schema drift/error handling, reusable patterns, and migration best practices for Data Factory mapping data flows, copy activity, runtimes, and data lake writes. |
| Decision Making | L115-L133 | Guidance on cost planning, connector upgrades, integration runtime and compute choices, and migration/modernization of ADF, SSIS, Synapse, and pipelines to Fabric. |
| Architecture & Design Patterns | L134-L142 | Patterns and architectures for ADF: efficient mapping data flows, metadata‑driven copy, SSIS IR with SQL MI/failover/VNet, Cosmos DB migration, and SAP CDC design. |
| Limits & Quotas | L143-L150 | Configuring Until/Wait activity limits and timeouts, understanding data flow reservation discounts, and reviewing ADF service quotas and capacity constraints. |
| Security | L151-L182 | Securing Data Factory: auth, roles, encryption, Key Vault, managed identities, VNets/private endpoints, firewall/Policy configs, and secure access to SQL, Purview, and SSIS IR. |
| Configuration | L183-L294 | Configuring ADF: integration runtimes, SSIS/SHIR, triggers, monitoring/logging, copy/data flows, formats/connectors, parameters/expressions, and pipeline/control activities. |
| Integrations & Coding Patterns | L295-L463 | Patterns and how-tos for connecting ADF to many data sources (SAP, SaaS apps, DBs, files), using mapping data flow functions, running SSIS, Databricks/ML/Synapse jobs, and pipeline templates. |
| Deployment | L464-L477 | CI/CD and deployment for ADF: ARM/linked templates, Azure DevOps pipelines, hotfix flows, pre/post scripts, SSIS job migration, and integration runtime install/migration. |
Troubleshooting
Best Practices
Decision Making
Architecture & Design Patterns
| Topic | URL |
|---|---|
| Design efficient pipelines using mapping data flows | https://learn.microsoft.com/en-us/azure/data-factory/concepts-data-flow-performance-pipelines |
| Configure Azure-SSIS IR with SQL failover groups | https://learn.microsoft.com/en-us/azure/data-factory/configure-bcdr-azure-ssis-integration-runtime |
| Build metadata-driven large-scale copy pipelines | https://learn.microsoft.com/en-us/azure/data-factory/copy-data-tool-metadata-driven |
| Migrate Azure SQL schemas to Azure Cosmos DB with ADF | https://learn.microsoft.com/en-us/azure/data-factory/how-to-sqldb-to-cosmosdb |
| Decide when and how to join Azure-SSIS integration runtime to a virtual network | https://learn.microsoft.com/en-us/azure/data-factory/join-azure-ssis-integration-runtime-virtual-network |
Limits & Quotas
| Topic | URL |
|---|---|
| Configure Until activity loops and timeouts in ADF | https://learn.microsoft.com/en-us/azure/data-factory/control-flow-until-activity |
| Configure Wait activity durations in Data Factory | https://learn.microsoft.com/en-us/azure/data-factory/control-flow-wait-activity |
| Understand reservation discounts for ADF data flows | https://learn.microsoft.com/en-us/azure/data-factory/data-flow-understand-reservation-charges |
| Review Azure Data Factory limits and quotas from FAQ | https://learn.microsoft.com/en-us/azure/data-factory/frequently-asked-questions |
Security
Shortened here. Read the whole file on GitHub.
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-factory-microsoftdocs- Source
- github.com/microsoftdocs/agent-skills