A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...

Relational data modeling is fine as long as data is ... By far, the most commonly used semantic modeling language is the Web Ontology Language (OWL), which is based in Description Logics.

SqlDBM, a leading collaborative, cloud-based data modeling platform for the enterprise, is unveiling Tx, a transformational workflow solution that empowers teams to facilitate both relational and ...

In addition, many business users think of data modeling as something strictly technical and dependent on in-depth coding skills. Semantic sprawl exacerbates the problem. Another barrier to ...

While language models such as ChatGPT use their understanding of semantic ... Relational Graph Transformer model, enabling it to learn across multiple tables of structured enterprise data.

The AtScale semantic layer platform delivers a comprehensive data modeling solution that empowers organizations to achieve greater efficiency and productivity for their resource-constrained data ...

Sangarsu's mastery in data modeling for relational databases, including MySQL, Oracle, PostgreSQL, SQL Server and SQLite3, transcends the mere management of complex data structures. His approach ...