2024-Present
Enterprise Data Fabric
Unified Data Architecture for AI-Ready Organizations
Data ArchitectureData FabricGovernanceMDM
Context & Problem
Modern enterprises have fragmented data landscapes spread across cloud, on-premise, and edge systems. AI initiatives require trusted, governed data that can be accessed efficiently regardless of where it resides.
Solution & Architecture
Architected data fabric solutions that provide a virtualized, semantically-aware layer across all enterprise data. Includes active metadata management, automated lineage, real-time quality monitoring, and AI-powered data discovery.
Key Components
- Multi-layer architecture with clear separation of concerns
- Integration with enterprise systems and data sources
- Scalable infrastructure designed for high availability
- Security and governance built into the core design
Impact
Transformed data accessibility and trust, enabling AI initiatives with governed, high-quality data. Reduced time-to-insight for analytics teams while ensuring compliance and security requirements are met.
What's Next
- AI-native data catalogs with natural language access
- Automated data product creation
- Real-time semantic layer updates