Data Modeling

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 »

Timbr Semantic Graph Layer with Spark or Databricks as the virtualization engine Introduction Organizations are dealing with increasingly large and complex datasets in today’s data-driven world. The necessity to efficiently use data and drive business decisions requires tools that can handle the never-ending amounts of data while maintaining a clear structure and adaptable frameworks to …

The Semantic Layer for Apache Spark & Databricks Read More »

Introduction Over the years, the International Consortium of Investigative Journalists (ICIJ) has exposed hundreds of thousands of documents regarding offshore companies, foundations and trusts from the Pandora Papers, Paradise Papers, Bahama Leaks, Panama Papers, and Offshore Leaks investigations. Today, instead of trying to view the different investigation data split across different sources and locations, the …

Investigating Royalty and Offshore Companies with Timbr Read More »

In a previous post we discussed how an off-the-shelf, customizable SQL knowledge graph turns Google Analytics 360 into a user-friendly strategic tool that shortens analysts time-to-value and empowers them with access to granular-level insights of visitors’ behavior across properties. We now present how the Timbr semantic graph data management platform empowers Looker Studio to deliver advanced …

Connecting Google Looker Studio to Timbr Semantic Graph Layer Read More »

What should we eat if we have certain dietary restrictions or pressing medical conditions? To answer this question we need to know what nutrients are contained in the food we consume and how these nutrients affect our health, and then we must be able to infer, from among the many possible connections, which kind of …

Creating a Dietary Recommendations Knowledge Graph with Timbr Read More »

There is a built-in discrepancy between how businesses conceptualize their business domain, and how this conceptualization gets translated into concrete data models. Virtual SQL Ontologies resolve this discrepancy by delivering key capabilities to relational databases that data modeling can’t deliver, such as defining abstract concepts, business rules, context and relationships that enrich data. Data modeling …

Don’t leave information behind: Replace data modeling with powerful virtual SQL Ontologies 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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