Cross-Cutting Concerns¶
Home | Best Practices | Cross-Cutting Concerns
Best practices that span across multiple services and domains in Azure analytics platforms.
Overview¶
Cross-cutting concerns are aspects of the platform that affect multiple components and cannot be isolated to a single service. These practices ensure consistency and compliance across your entire data platform.
In This Section¶
Data Governance¶
- Retention Policies - Data lifecycle and compliance
Development¶
- Stream Analytics Queries - Query development best practices
Event Handling¶
- Event Grid Patterns - Event-driven architecture patterns
Governance¶
- Metadata Governance - Catalog and lineage management
Networking¶
- Databricks Networking - VNet injection and Private Link
Storage¶
- Capture Optimization - Event Hubs Capture best practices
Key Principles¶
| Principle | Description |
|---|---|
| Consistency | Apply patterns uniformly across services |
| Automation | Automate compliance and governance |
| Observability | Monitor cross-cutting concerns centrally |
| Security | Defense in depth across all layers |
Related Documentation¶
- Operational Excellence
- Service-Specific Best Practices
- Architecture Patterns
Last Updated: January 2025