reference architecture
AWS Cloud and Timbr:
Building Connected Data Ecosystems
AWS Cloud provides a powerful environment for data storage, processing, and analytics.
Timbr enhances AWS by embedding semantic intelligence, enabling simplified workflows and meaningful insights.
Why Timbr with AWS Cloud ?
Timbr enhances AWS Cloud by creating a connected, semantic data environment, unlocking the power of integrated and meaningful analytics.
How Timbr Embeds into AWS Cloud
Timbr integrates into AWS’s data modeling layer, enhancing workflows by: Reference Architecture
- Unified Semantic Graph: Connect AWS services like S3, Redshift, and RDS into a reusable semantic graph.
- Simplified Querying: Enable intuitive querying across diverse datasets by replacing JOINs with semantic relationships.
- BI Integration: Expose enriched semantic models to Amazon QuickSight and other BI tools.
Features in Action
- Ontology Modeling: Build semantic relationships across AWS services for easier exploration and reuse.
- Metrics Management: Leverage Timbr’s Metric Store to define and analyze metrics with semantic context.
- Cross-Service Collaboration: Enable seamless data exploration across AWS-native and third-party tools.
Impact
- Simplify Complexity: Eliminate redundant queries and workflows with semantic intelligence.
- Improve Collaboration: Share semantic models across teams for aligned decision-making.
- Scalable Analytics: Build robust analytics frameworks that grow with your business.
