> azure-synapse-analytics
Expert knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Synapse workspaces, Spark pools, dedicated/serverless SQL, Synapse Link, or ADLS/Cosmos DB integrations, and other Azure Synapse Analytics related development tasks. Not for Azure Data Factory (use azure-data-factory), Azure Data Explorer (use az
curl "https://skillshub.wtf/MicrosoftDocs/Agent-Skills/azure-synapse-analytics?format=md"Azure Synapse Analytics Skill
This skill provides expert guidance for Azure Synapse 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), 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-L62 | Diagnosing and fixing Synapse issues: workspace/tenant moves, Spark jobs and libraries, SQL pool performance/connectivity, Synapse Link failures, Studio/network/storage connectivity. |
| Best Practices | L63-L121 | Best practices for Synapse: Spark tuning, Delta/Hyperspace optimization, dedicated/serverless SQL design and performance, T-SQL patterns, indexing/stats, and Netezza/Oracle/Teradata migration guidance. |
| Decision Making | L122-L141 | Guidance on choosing Synapse components, planning migrations (Netezza/Oracle/Teradata/SQL pools), sizing and cost management, Spark lifecycle, table distribution, and using tools like Advisor and query history. |
| Architecture & Design Patterns | L142-L162 | Architecture and design guidance for Synapse workspaces, SQL/serverless/Spark pools, data warehouse migrations, table design, ELT/PolyBase loading, and workload management. |
| Limits & Quotas | L163-L173 | Synapse SQL pool limits: maintenance windows, memory/concurrency by performance level, capacity caps, temp table behavior, serverless Delta Lake v1 querying, and Synapse Link feature limits/issues. |
| Security | L174-L232 | Securing Synapse workspaces end-to-end: auth and RBAC, network isolation, private endpoints, encryption, data exfiltration, policies, and secure access to storage, SQL, Spark, and migration scenarios. |
| Configuration | L233-L283 | Configuring Synapse workspaces, Spark pools, and SQL pools: environments, scaling, libraries, monitoring/metrics, backups/restore, workload management, and integrations (Purview, AML, SynapseML). |
| Integrations & Coding Patterns | L284-L320 | Patterns and code to integrate Synapse (Spark, serverless, dedicated SQL) with ADLS, Cosmos DB, Azure SQL, AML, monitoring (Log Analytics, Prometheus), and external tools via connectors, REST, and T-SQL. |
| Deployment | L321-L333 | Deploying and managing Synapse workspaces and dedicated SQL pools with ARM/Bicep, CI/CD, source control, restore points, and automated SQL compute operations. |
Troubleshooting
Best Practices
Decision Making
Architecture & Design Patterns
Limits & Quotas
Security
Configuration
Integrations & Coding Patterns
Deployment
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