Many teams moving from relational databases to MongoDB carry over old habits. That’s because relational modeling trains you to think in flat, two-dimensional tables. 

In MongoDB, data is stored as BSON documents, which support multiple levels of structure. This is where MongoDB’s schema flexibility shines, allowing you to model data in ways that are more natural and efficient.

In this session, you’ll see the benchmarks, the code, and the schema design pattern that makes the difference. We’ll break down how BSON handles flat and structured documents, highlight where storage savings occur, and walk through practical steps to apply these lessons in your own systems.

Whether you’re building new applications or optimizing existing workloads, this webinar delivers proven patterns from MongoDB experts that you can put into practice right away.