Tzvi Weitzner

There is a built-in discrepancy between how businesses conceptualize their business domain, and how this conceptualization gets translated into concrete data models. Modeling data with semantics and relationships resolves this discrepancy by delivering key capabilities to relational databases that logical and physical data modeling can’t deliver, such as defining abstract concepts, business rules, context and …

Why Your Data Model Needs Semantics and Relationships Read More »

Intro HL7®’s FHIR® – Fast Healthcare Interoperability Resources’ standard is a set of rules and specifications for exchanging electronic healthcare data. It is designed to be flexible and adaptable, to meet the needs of developers, healthcare providers, and other partners. In collaboration with Capgemini, we created a healthcare reference architecture for AWS that leverages HL7 FHIR data …

Utilizing Timbr’s Semantic Graph Layer for Rapid Data Interoperability in Healthcare Read More »

Thanks to Rajesh Iyer, Global Head of AI & ML for Banking, Capital Markets, P&C, Life & Health Insurance at Capgemini for sharing the material used in this post. Introduction The Timbr semantic graph layer plays a crucial role in powering the Insights First Architecture, which aims to enable enterprise data consumption patterns that facilitate …

Insights First Architecture to Power Enterprise Data Consumption Read More »

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Model a Timbr SQL Knowledge Graph in just a few minutes and learn how easy it is to explore and query your data with the semantic graph

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