| Pillar | Description | |--------|-------------| | | Using Microsoft Purview to discover, classify, and govern data across on-premises, multi-cloud, and SaaS. | | Data mesh / fabric | Moving from a centralized data lake to a distributed architecture (Microsoft Fabric) that unifies data engineering, integration, and analytics. | | Master Data Management (MDM) | Consolidating customer, product, and reference data across Dynamics 365, Azure, and third-party systems. | | Metadata-driven automation | Using metadata to automate pipelines, access control, and data quality rules. | | Compliance & privacy by design | GDPR, CCPA, and industry-specific controls embedded into data product development. | | Self-service with guardrails | Democratizing data access while maintaining security policies via Azure Active Directory and row/column-level security. |
Perhaps the most compelling aspect of Microsoft’s strategy, particularly for enterprise leaders, is the integration of governance and security directly into the data lifecycle. In the past, accessibility and security were often viewed as opposing forces; making data more accessible usually introduced risk. Microsoft’s strategy challenges this trade-off. data management strategy at microsoft pdf
While I cannot directly provide or link to a PDF file (as I don't have live access to external document hosting or your local storage), I can help you locate it and summarize what such an article typically covers. | Pillar | Description | |--------|-------------| | |