In the fast-paced world of data-driven technologies, MongoDB Inc. has emerged as a powerful and flexible database platform.As organizations seek to unlock the full potential of MongoDB, data model ...

It's understandable that those new to MongoDB - a so-called 'schema free' database - might assume that they no longer need to be concerned with the art-science of data modeling. However, in reality ...

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' ...

MongoDB is a leading NoSQL solution that delivers on the promise of flexible-schema data stores, offering developers a faster, easier, and more natural way of building applications.

But schema tends to be variable in most MongoDB implementations, so we would like to see more focused efforts in the future for developing data lineage capabilities that could track schema evolution.

With MongoDB’s schema-less design, users will be able to bring in new multiple big data sources without needing to ‘prepare it’ in a more traditional sense.

Its document data model gives developers great flexibility, ... Starting in MongoDB 3.6, MongoDB supports JSON schema validation, which you can turn on in your validator expression.

Expanded partnership between MongoDB and Google Cloud enables developers to use state-of-the-art AI foundation models from Google to build new classes of generative AI applications with expert ...

We don't need to translate into another data model or another database to run the analytics and reporting from that particular data. All this brings big savings in resources and cost. I have learned ...