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 »
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 Timbr combines with Databricks over Lakehouse power the Insights First Architecture, which aims to enable enterprise data consumption patterns that facilitate efficient insight delivery and …
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 …
Introduction In the constantly changing digital ecosystems, millions of developers globally rely on REST APIs to power their applications, streamline data integration, and foster interoperability across systems. Given the vastness and complexity of these API-driven ecosystems, there’s a clear demand for comprehensive API documentation systems. That’s where OpenAPI spec and Swagger have emerged as an …
Semantic Swagger Self-documenting API for every Semantic Model 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 Hyper-personalization involves leveraging data analytics, artificial intelligence (AI), and real-time customer data to create highly tailored and individualized strategies to optimize customer engagement. In collaboration with Capgemini, Timbr.ai architected a hyper-personalization solution that combines Timbr’s unique features with Microsoft Synapse and Azure Personalizer, designed for the financial services industry to unlock the potential of …
Delivering Hyper-Personalized Products and Services Fast and with Minimum Effort 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 »
Business users ask questions in business terms. Formulating the SQL queries that answer these questions require discovery and understanding of the data stored in the physical model. This is a painstaking process when data is stored in multiple tables and or databases. Semantic SQL is SQL used for querying SQL Ontologies that represent the business …
Relationships, inheritance and hierarchies in SQL to accelerate time to value Read More »
Semantic SQL queries are no different in syntax than the standard SQL queries known to every data engineer, data scientist or analyst. However, despite the syntax being the same, Semantic SQL queries deliver a significant advantage: consumers benefit from a 360° view of data without JOINs, so query complexity is eliminated and time to value …
Semantic SQL: 360° access to data without JOIN Statements Read More »
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