It entails putting data objects, their relationships and the rules governing them into visual form. Because it calls on diverse expertise, data modeling is rarely a one-time solo effort.

Data modeling does not excite passion within programmers. Your average Java or Python developer probably doesn’t even realize that they are doing it when they write programs, in great part ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis ...

Artificial Intelligence (AI) is reshaping the landscape of climate modeling, offering new tools and approaches to enhance our ...

Unified data modeling supports features like document schema of NoSQL databases and reverse engineering of data from an existing database. It also supports visual refactoring of existing databases.

Data modeling best practices help define a formal process that gives structure and direction to an organization's data. Read more about data modeling now. Image: Song_about_summer/Adobe Stock ...

Relational data modeling is fine as long as data is being stored in a relational database, but otherwise it has no particular use. And XML cannot credibly be called a modeling language.

ERwin Data Modeler (ERwin) is a software tool for data modeling requirements of information systems that are custom developed. Its engine is based upon the IDEF1X method.

Fractured and incomplete datasets are a key barrier towards effectively training AI models for deployment in healthcare ...

A novel image-based deep learning approach achieves high accuracy and interpretability, offering potential for clinical ...