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' ...

While schema design was previously associated with rigid, normalized structures, MongoDB’s document model allows for more flexibility and schema-less design.

Schema design with MongoDB is almost too easy, but if you've been flattening things out into tables for 20 years, there are a number ways that you can get it wrong.

Relational databases were a revelation in their time, decoupling query design from schema design, and they enabled developers to focus solely on schema design, knowing they could later query their ...

These 12 blogs on schema design patterns offer the knowledge to harness the power of MongoDB, the flexibility of the document model.

For many other NoSQL systems, support for SQL is rendered moot by their schema-free design. Schemas essentially restrict and define the types of records that can be stored in a database.

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.

NoSQL continues to gain adoption, primarily due to the need for it in corporate daily operations and the freedom it provides compared to the rigid schemas associated with relational technologies.