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Define metrics
upstream to align
your team
Centralize metrics in Synmetrix's semantic layer, removing the need for separate metric definitions in each app
What is semantic layer?
A semantic layer acts like a bridge between your data source and the applications using that data. In the case of Synmetrix, it's designed as a user-friendly, API-first, four-part semantic layer. This empowers data engineers and developers to ensure their data is consistent, secure, fast, and easily accessible across all applications.
How does Synmetrix Semantic Layer work?
A semantic layer serves as a business representation of data, providing a unified and consolidated view of information throughout an organization. This layer typically includes upstream and centralized definitions of metrics, managed through code.
This approach eliminates the necessity to specify metrics separately within individual applications, promoting consistency and efficiency in data interpretation across the organization.
Data Modeling
With Synmetrix's upstream semantic layer, establish a centralized, singular source of truth—complete with uniform metrics that require definition only once.
Synmetrix utilizes Cube Data Models to transform raw data into purposeful business definitions and pre-aggregates data for optimal outcomes.
Actionable insights for everyone
Scientists
Engineer
Makers
Analysts
Key
Benefits
Powerful Tools,
For Data Modeling
Enforce uniform security and governance with data access control that happens upstream of every data app
Connect With
Your Favorite Data Sources
Ready to elevate your data game? Dive into the future of data connectivity with Synmetrix. Seamlessly connect more than 50 data sources. Your data journey starts now with Synmetrix!
a semantic layer?
