Did you know that businesses using well-structured data models in Power BI can reduce their data processing time by up to 50%? The key lies in choosing the right schema. Whether you’re leaning towards ...

In the fast-paced world of data-driven technologies, MongoDB Inc. has emerged as a powerful and flexible database platform. As organizations seek to unlock the full potential of MongoDB, data modeling ...

Take advantage of migrations in EF Core to manage database schema changes over time and keep them in sync with the data models of your ASP.NET Core applications. An object-database mapper for .NET ...

Fauna, the distributed document-relational database delivered as a cloud API, is debuting new schema features and types, empowering organizations to easily evolve their database schema as the needs of ...

Database provider Couchbase has unveiled a comprehensive suite of model hosting and data processing capabilities for building, deploying and governing agentic AI applications. By bringing data and ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

Co-founder and CTO of Docsumo, I am at the forefront of revolutionizing document processing through cutting-edge AI/ML technology. Smart Search and Query: Large language models significantly enhance ...

Artificial Intelligence (AI) is transforming industries by automating tasks and generating insights, but its true effectiveness depends on high-quality, relevant data. Structured data is the most ...

Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

While relational databases rely on rigid structures, document databases are much more natural to work with and can be used for a variety of use cases across industries. A document database (also known ...