Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling.

Using integrated modeling solutions to implement model-driven data management and development can help organizations share knowledge effectively and with minimum effort. It will certainly produce ...

Graph data modeling requires a different paradigm than modeling with Relational or other NoSQL databases. InfoQ spoke with Jim Webber and Ian Robinson about data modeling with Graph databases.

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Multi-model databases can take in varying database schemas, allowing them to integrate siloed data.

Erwin is a Data Modeling and Database Design Application Case Tool working on Windows. CA ERwin DM creates a blueprint for the enterprises to work on a design solution. ERwin Data Modeler (ERwin) is a ...

A multimodel database provides a single back end that supports multiple data models. It’s all about being able to choose the best data model for the job with a single storage substrate.

It seems as if it should be simple. Within a normalized database model, a one-to-many relationship is represented by establishing a foreign key on the entity at the many-side of the binary ...

In Part II of our year-ahead outlook, we explore the sleeper issues that will drive data management and the mainstreaming of AI in analytics.

Microsoft has made a promised public preview of its Common Data Model (CDM) entity database available to testers. CDM is at the heart of the coming Microsoft Dynamics 365 bundle.