Using the notation provided above, it is possible to model complex data structures and behavior at the DBMS level. In addition to this, the UMLprovides the notation to express relationships between ...

Data modeling is the process of defining datapoints and struc­tures at a detailed or abstract level to communicate information about the data shape, content, and relationships to target audiences.

Data modeling has always been a task that seems positioned in the middle of a white-water rapids with a paddle but no canoe. On one side of the data modeling rapids are the raging agilists who are ...

Storing data in multi-model database wards off this problem. As a modern management system, multi-model databases offer an elegant solution to managing diverse and unstructured data. Instead of ...

SqlDBM is solving key enterprise challenges with Global Modeling, a cross-functional ability to model for data integrity and consistency. Their latest capabilities are the first in the market to ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population ...

Transactional modeling uses purchasing information gathered into a cooperative database from a number of marketers. Because the data are based on transactions the consumers in the file have actually ...

Designed as a distributed transaction database, the just-release 1.0 version is a work in progress, initially supporting Apache Cassandra and Redis APIs, and for now, a snapshot isolation ACID model.

SqlDBM unveils the first all-in-one relational and transformational modeling platform. The addition of Transformational Modeling, Tx, allows data teams to simplify, automate, and collaborate on ...