Data Fabric Architecture
A unified, intelligent layer that automates data integration, governance, and delivery across hybrid and multi-cloud environments
WHAT IS IT?
Data Fabric is an architecture design concept that serves as an integrated layer of data and connecting processes. It uses continuous analytics over existing, discoverable, and inferenced metadata assets.
- Unified data access layer across silos
- Metadata-driven automation
- Self-service data discovery
- Intelligent data orchestration
WHY IS IT IMPORTANT?
Organizations struggle with data sprawl, silos, and integration complexity. Data Fabric addresses these by reducing integration design time by 30%, deployment by 30%, and maintenance by 70%.
- 70% reduction in data delivery time
- Eliminates manual integration coding
- Enables real-time decision making
- Future-proofs data architecture
HOW DOES IT WORK?
Data Fabric uses knowledge graphs and active metadata to automatically discover, profile, and catalog data. ML algorithms analyze usage patterns to recommend optimal integration paths.
- Continuous metadata harvesting
- ML-driven integration recommendations
- Automated pipeline generation
- Self-healing data workflows
Reference Architecture
End-to-end Data Fabric architecture with intelligent metadata layer
Core Components
Knowledge Graph
Catalog and document everything in the enterprise with relationships and semantic context.
- Enterprise metadata catalog
- Semantic relationship mapping
- Business context integration
- Automated discovery
Active Metadata
Leverage real-time metadata insights for intelligent data operations and automation.
- Real-time metadata analysis
- Automated classification
- Usage pattern detection
- Quality monitoring
Augmented Data Catalog
AI-powered catalog that continuously learns and improves data understanding.
- ML-driven cataloging
- Automated tagging
- Smart recommendations
- Natural language search
Embedded Data Integration
Seamlessly connect and integrate data from any source, anywhere in your ecosystem.
- Universal connectors
- Real-time streaming
- Batch processing
- API management
Orchestrated Data Pipeline
Automate and orchestrate complex data workflows with intelligent scheduling.
- Visual pipeline builder
- Dependency management
- Error handling
- Performance optimization
Governed Data Products
Deliver trusted, governed data products to consumers across the organization.
- Data product lifecycle
- Quality certification
- Access governance
- Usage analytics
2024-2025 Trends
AI-Augmented Data Fabric
GenAI and LLMs embedded for natural language querying and automated data pipeline generation
Semantic Layer Evolution
Universal semantic models enabling consistent metrics across all consumption tools
Data Mesh + Fabric Convergence
Combining federated ownership with centralized governance and automation
Business Value
How DaasLabs Implements Data Fabric
Assess & Discover
Catalog existing data assets, identify integration patterns, map business requirements
Design Architecture
Build knowledge graph, define semantic models, establish governance policies
Implement & Integrate
Deploy integration pipelines, enable active metadata, configure ML automation
Operationalize & Scale
Launch data products, enable self-service, monitor usage and continuously optimize
Ready to Build Your Data Fabric?
Schedule a consultation to discuss how Data Fabric architecture can transform your data landscape.