/azure-data-factory

name: azure-data-factory
description: Expert 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).
compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
metadata:
  generated_at: "2026-09-06"
  generator: "docs2skills/1.0.0"

Azure Data Factory Skill

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`), 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](https://github.com/MicrosoftDocs/mcp/blob/main/README.md)

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-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

| Topic | URL | |-------|-----| | Troubleshoot Azure Data Factory change data capture | https://learn.microsoft.com/en-us/azure/data-factory/change-data-capture-troubleshoot | | Troubleshoot CI/CD, Azure DevOps, and GitHub integration for ADF | https://learn.microsoft.com/en-us/azure/data-factory/ci-cd-github-troubleshoot-guide | | Resolve common Azure Data Factory connector upgrade issues | https://learn.microsoft.com/en-us/azure/data-factory/connector-deprecation-frequently-asked-questions | | Diagnose and fix Azure Data Factory Amazon S3 connector errors | https://learn.microsoft.com/en-us/azure/data-factory/connector-troubleshoot-amazon-simple-storage-service | | Fix Azure Blob Storage connector issues in ADF | https://learn.microsoft.com/en-us/azure/data-factory/connector-troubleshoot-azure-blob-storage | | Diagnose and fix Azure Cosmos DB connector issues | https://learn.microsoft.com/en-us/azure/data-factory/connector-troubleshoot-azure-cosmos-db | | Resolve Azure Data Explorer connector problems in ADF | https://learn.microsoft.com/en-us/azure/data-factory/connector-troubleshoot-azure-data-explorer | | Troubleshoot Azure Data Lake Storage connectors in ADF | https://learn.microsoft.com/en-us/azure/data-factory/connector-troubleshoot-azure-data-lake | | Resolve Azure Data Factory Azure Files connector issues | https://learn.microsoft.com/en-us/azure/data-factory/connector-troubleshoot-azure-files | | Troubleshoot Azure Data Factory Azure Table Storage connector | https://learn.microsoft.com/en-us/azure/data-factory/connector-troubleshoot-azure-table-storage | | Resolve DB2 connector problems in Azure Data Factory | https://learn.microsoft.com/en-us/azure/data-factory/connector-troubleshoot-db2 | | Fix delimited text connector errors in Data Factory | https://learn.microsoft.com/en-us/azure/data-factory/