The article illustrates techniques for generating parallel logic outputs with industrial serialized digital inputs.

Humans can remember various types of information, including facts, dates, events and even intricate narratives. Understanding ...

This work i) proposes the first query-driven big data modeling methodology for Apache Cassandra, ii) defines important data modeling principles, mapping rules, and mapping patterns to guide logical ...

The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical ...

These top data modeling tools and applications enable users to build conceptual and logical data models that deliver significant competitive advantage.

The increasing usage of column-oriented NoSQL drives people to define methods to model the data structure of this technology. The data modelling methods require the support of tools or applications to ...

In the simplest terms, a logical data model is a visual representation of the business rules and requirements covering the universe-of-discourse for a given solution or enterprise, along with some ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.