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.

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 ...

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 ...

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 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 ...

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.

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.