The Data Model Profile is a UML extension that supports the modeling of relational databases in UML. It includes custom extensions for such things as tables, data base schema, table keys, triggers, ...

For example, a new application, based upon new technology, might be used to gather up data from smartphones, tablets and the like. This new application, in all likelihood, will simply feed the ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

The cloud is reshaping enterprise data strategies, Kevin Petrie, senior director product marketing for Attunity, agreed. “Cloud-based data warehouses, data lakes, and RDBMS [relational database ...

Relational databases are well-suited to conventional data analysis such as reporting and classical statistical analysis (what you learned in the college Statistics 101 class, for example).

Relational databases are built on a model that uses a structure of tables linked by defined relationships expressing dependencies between the data. Primarily, relational databases are used for ...

A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...

For example, document, graph, relational, and key-value models are examples of data models that may be supported by a multi-model database. Having a single data platform for managing both ...

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 ...