With AI at the data level, you can use that model to do a lot of the work, and then apply vector search on top of that.

This type of model is used to design the database. Physical data model. The physical data model contains all the specifics about how the logical model will be implemented.

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 ...

Data modeling begins as a conceptual venture. The first objective of conceptual data modeling is to understand the requirements. A data model, in and of itself, is of limited value. Of course, a data ...

Relational data modeling is fine as long as data is being stored in a relational database, but otherwise it has no particular use. And XML cannot credibly be called a modeling language.

Data modeling can provide a valuable component of BI that has been largely neglected. In a recent DBTA webinar, Shohei Narron and Anika Kuesters Smith, data analysts at Looker, discussed the company’s ...

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical 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.

Graph databases are good data models for relations. In many real-world cases, a graph is a very natural data model. It captures relations and can hold label information with each edge and with each ...

Are vendor claims that big data, IoT and NoSQL killed RDBMS credible? Nothing is that simple in the enterprise data center. ... Is the relational database model dead? Opinion. Sep 19, 2016 5 mins.