Physical data model: This layer defines how the logical model will be applied to the actual data set. Using this layer, IT teams create the real database structure, as well as the hardware and ...

On the morning of August 21, Dameng Data's Vice General Manager, Fu Xin, delivered a keynote speech titled "Intelligent Multi ...

The logical model is built on sets of data. For a more in-depth explanation of the ER model, visit the ITS Database Services Web site or the Mapping an ER Model to the Relational Model Web site (a ...

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.

An example of a popular graph database system is Neo4j. Another Choice: The Multi-Model DBMS Yet another choice in the NoSQL market is the multi-model DBMS. A growing number of vendors have delivered ...

Marginal models for multivariate binary data permit separate modelling of the relationship of the response with explanatory variables, and the association between pairs of responses. When the former ...

RavenDB’s new feature supports safely using any LLM directly inside the database, whether it’s a commercial offering — from the likes of Open AI, Mystral, or Grok — or an open source model.

Recently, vendors have been offering a single, all-encompassing CMDB to hold configuration data that’s accessible by all applications that need the data. But an all-encompassing database isn’t ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more ...