A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...

This year is an expansive one for the database ecosystems that have evolved around the major platforms. Artificial intelligence (AI), machine learning, the Internet of Things (IoT), and cloud ...

When object-oriented programming languages began to be used in enterprise applications, designers had problems fitting the object-oriented model with the relational model. In the object-oriented model ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Senyo Simpson discusses how Rust's core ...

Traditionally, data modeling produces a set of structures for a Relational Database Management System (RDBMS). First, we build the Conceptual Data Model (CDM) to capture the common business language ...

Introduce the concepts about relational models. Train students on how to convert a conceptual entity relationship model to a relational model. Introduce students with the reasons and process of ...

NoSQL entered the scene nearly six years ago as an alternative to traditional relational databases. The offerings from the major relational vendors couldn’t cut it in terms of the cost, scalability, ...

Today, it takes months to build predictive models using machine learning — KumoRFM delivers results in seconds, with no manual effort. Kumo, cutting edge AI that can query the future ...

The focus of this paper is an approach to the modeling of longitudinal social network or relational data. Such data arise from measurements on pairs of objects or actors made at regular temporal ...