Mastering MongoDB: Data modeling, schema design and the future of AI ... “Steve was teaching relational database for years, wanted to have a Siri on NoSQL databases,” Coupal said.

Relational data modeling is fine as long as data is being stored in a relational database, ... Capturing data in an XML schema does not qualify as a model under this definition.

Regardless of this confusion as to how flexible schema might impact data modeling, just as with a relational database, developers must model data in NoSQL databases.

Although relational database schemas can be molded, eventually the schema is set and inflexible to change. On the other hand, NoSQL document databases are schema-agnostic.

FSL enables users to define a database’s domain models, access controls, and user-defined functions in human-readable language, in addition to managing schema as a set of files in a code repository.

The design of a schema in MongoDB is just as important as it is in RDBMS. Indeed, schema design can be even more complicated in MongoDB. At least in SQL databases, we have the 'first normal form' ...

Develop a migration strategy: This involves selecting appropriate migration tools, establishing a migration schedule and determining how to map data from the relational schema to the NoSQL model.

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

Graph-relational database developer EdgeDB Inc. is gearing up for prime time after closing on a $15 million early-stage round of funding ahead of its official launch early next year.Today’s Seri ...

Pascal Desmarets: For years, the terms "schemaless," "schema-on-read," and "non-relational" have given the impression that no data modeling was necessary for NoSQL databases.