reference architecture
Microsoft Fabric and Timbr: Unlocking Seamless Data Integration and Insights
The Microsoft Fabric architecture combines a suite of tools like Data Factory, Synapse Data Warehouse, Lakehouse, and more, unified under OneLake for versatile and scalable data management.
By integrating Timbr, the ontology-based semantic layer, enterprises can enhance Microsoft Fabric’s capabilities with meaningful relationships, reusable metrics, and intuitive querying.
Why Timbr with Microsoft Fabric?
Timbr enhances Microsoft Fabric by creating a seamless bridge between diverse data sources and actionable insights. Together, they enable scalable, meaningful, and collaborative data environments that empower modern enterprises.
How Timbr Embeds into Microsoft Fabric
Timbr embeds as Microsoft Fabric’s semantic layer, transforming data integration and analytics with:
- Ontology Modeling: Timbr enables the creation of reusable semantic models that represent OneLake’s data as a connected semantic graph.
- Simplified Queries: By replacing complex SQL JOINs with explicit semantic relationships, Timbr simplifies querying across Microsoft Fabric components.
- Seamless Integration: Timbr works alongside Microsoft Fabric’s serverless compute layer (T-SQL, KQL, Spark) to deliver semantic intelligence for data exploration and decision-making.
Features in Action
- Semantic Layer Integration: Transform OneLake’s structured, semi-structured, and unstructured data into a unified semantic graph for easy access and reuse.
- Metric Discovery: Automatically identify key metrics from data concepts and standardize them for advanced analysis in Power BI or SQL endpoints.
- Cross-Tool Accessibility: Expose enriched semantic models and metrics to downstream tools, ensuring consistency across the Microsoft ecosystem.
Impact
By integrating Timbr with Microsoft Fabric, enterprises can:
- Accelerate Data-Driven Decisions: Access meaningful insights faster with intuitive querying and reusable semantic relationships.
- Foster Collaboration: Enable teams to work with shared semantic models, improving alignment and decision-making.
- Scalable Efficiency: Leverage Microsoft Fabric’s serverless compute and unified storage with Timbr’s semantic intelligence for robust, scalable workflows.
