PRESENTATION - September 9, 2015

Webinar: Back to Basics - Thinking in Documents

New applications, users and inputs demand new types of data, like unstructured, semi-structured and polymorphic data. Adopting MongoDB means adopting to a new, document-based data model.

While most developers have internalized the rules of thumb for designing schemas for relational databases, these rules don't apply to MongoDB. Documents can represent rich data structures, providing lots of viable alternatives to the standard, normalized, relational model. In addition, MongoDB has several unique features, such as atomic updates and indexed array keys, that greatly influence the kinds of schemas that make sense.

In this session, Buzz Moschetti explores how you can take advantage of MongoDB's document model to build modern applications.


What's next? Get a better understanding of how MongoDB's architecture was developed and how it can push your development forward with our Architecture Guide.

Read the guide

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PRESENTATION - September 9, 2015

Webinar: Back to Basics - Thinking in Documents

View Presentation

New applications, users and inputs demand new types of data, like unstructured, semi-structured and polymorphic data. Adopting MongoDB means adopting to a new, document-based data model.

While most developers have internalized the rules of thumb for designing schemas for relational databases, these rules don't apply to MongoDB. Documents can represent rich data structures, providing lots of viable alternatives to the standard, normalized, relational model. In addition, MongoDB has several unique features, such as atomic updates and indexed array keys, that greatly influence the kinds of schemas that make sense.

In this session, Buzz Moschetti explores how you can take advantage of MongoDB's document model to build modern applications.


What's next? Get a better understanding of how MongoDB's architecture was developed and how it can push your development forward with our Architecture Guide.

Read the guide

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