reference architecture
Google Cloud and Timbr:
Simplifying Data Complexity for Scalable Insights
Google Cloud offers a powerful suite for data ingestion, processing, and analytics.
Timbr enhances Google Cloud’s capabilities by embedding a semantic layer that enables reusable relationships, metrics, and insights across Google-native tools.
Why Timbr with Google Cloud ?
Timbr transforms Google Cloud into a connected semantic environment, enabling meaningful insights and seamless collaboration.
How Timbr Embeds into Google Cloud
Timbr integrates within the modeling layer of Google Cloud, transforming workflows by:
- Unified Semantic Graph: Connect disparate data layers like BigQuery and Cloud Storage into a single, reusable graph.
- Simplified SQL Queries: Replace complex joins with semantic relationships, enabling intuitive exploration across datasets.
- Seamless Tool Integration: Expose Timbr’s semantic models to tools like Looker and Data Studio for consistent and reliable analytics.
Features in Action
- Ontology Modeling: Build and manage semantic relationships directly within Google Cloud, ensuring efficiency and reusability.
- Metric Store Integration: Define and analyze metrics in SQL with rich semantic context, compatible with universal BI tools.
- Transitive Reasoning: Simplify modeling by automatically applying shared properties across datasets.
Impact
By embedding Timbr, enterprises can:
- Accelerate Insights: Simplify data queries for faster decision-making.
- Enhance Collaboration: Provide teams with a unified understanding of data across tools.
- Scalable Workflows: Build flexible, insightful data ecosystems ready to adapt to business needs.
