A fuzzy entity relationship diagram (ERD) data model for managing information about sets of related data files was converted to an object design. To do this, we developed new methods incorporating ...

Learn the differences and similarities between data modeling and data engineering, and how they complement each other in the data lifecycle.

For patients with multiple myeloma, the use of novel agents in first-line triplet and quadruplet induction regimens -- with or without high-dose therapy and autologous stem cell transplant (ASCT) -- ...

About A complete database and data warehouse design for an e-commerce business model, including ERD, relational schema, SQL implementation, and star schema.

BRMW is a free open source entity-relationship database modeling tool. We're working to make learning database modeling simple and accessible for everyone ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

Merit is making its Scholars program widely available. It's a team of experts to fine-tune generative AI models for ...

In an enterprise world drowning in dashboards, one truth keeps surfacing: Data isn’t the problem—product thinking is.

As companies deploy agentic AI, CIOs and data leaders face a critical mandate: deliver governed, trusted data that AI systems can understand.

Structured maturity models can address program, reliability and safety improvements while ensuring regulatory compliance.

With GenAI and agentic AI projects increasingly moving from proof of concept to enterprise deployment, the business case for ...

Big data, Hadoop, unstructured data, NoSQL, data architecture, and analytics news, analysis, trends, and research from Database Trends and Applications magazine.