At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Could help break silos, but users should take wait-and-see approach to system limited to Microsoft DBs and DBaaS ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

MongoDB Inc. is making its play for the hearts and minds of artificial intelligence developers and entrepreneurs with today’s announcement of a series of new capabilities designed to help developers ...

AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more ...

Oracle announces agentic AI capabilities for Oracle AI Database, including Private Agent Factory, Deep Data Security, and ...

The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Tech-enabled SaaS growth companies are among the most progressive companies when it comes to making use of data science. In a global survey conducted by McKinsey Analytics in 2020, only 16% of ...