Ontologies

Introduction Microsoft Synapse Common Data Models (CDM) and Industry Data Models (IDMs) enable data product interoperability. Both model types help users organize the way data is shaped and shared and ensure to keep data understandable. Transforming CDMs and IDMs into Timbr intelligent semantic layers offers several advantages, particularly in scenarios where there’s a need for greater …

Transforming Microsoft Synapse Data Models into Semantic Layers Read More »

A standardized semantic model for Google Analytics 4 reduces the complexity of data handling and transforms it into an intuitive strategic tool that democratizes data access, allowing marketing and sales teams to gain insights into user interactions across digital platforms with minimal technical barriers. Introduction Google Analytics 4 (GA4) is the latest evolution of the …

Boost Google Analytics 4 ROI with a Semantic Ontology Read More »

How does Timbr accelerate engineering of a semantic layer on top of data? In this part 2 of the series we discuss and demonstrate the bulk creation of relationships between the different entities created in the semantic model, to reduce SQL query size by up to 90% and explore data as a web of relationships. …

Timbr Automates Creation of Data Model Relationships Read More »

How does Timbr accelerate engineering of a semantic layer on top of data? In this article, we explain Timbr’s advanced functionality that enables users to create virtual concepts and data mappings in bulk to provide meaning and unified metrics to data, fast and with minimum effort – without moving or transforming data. In part 2 …

Timbr Automates Intelligent Semantic Modeling of Data Read More »

Timbr Intelligent Semantic Layer with 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 support the …

The Semantic Layer for Databricks 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. 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 »

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 »

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 »

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