The difference between a performant database and a scaling nightmare often comes down to the patterns you choose. This hands-on workshop explores common schema design patterns, such as the Extended Reference and Computed patterns, which allow you to optimize for specific read and write requirements. We also address the specific design choices that lead to performance bottlenecks. You will learn to identify and correct dangerous anti-patterns, like unbounded arrays, ensuring your MongoDB environment remains responsive and efficient as your data grows.
Key Takeaways
Strategic implementation of the Extended Reference and Computed design patterns
How to identify and remediate performance-killing anti-patterns before they reach production
Methods for managing large-scale data structures without sacrificing query speed
Practical strategies to ensure your schema design remains performant at scale
We have made this session available on-demand so you can see exactly how to apply these patterns to your own workloads. Our presenters walk through real-world scenarios that highlight the impact of smart design choices on overall system health. Even if you missed the live presentation, you can watch the recording and access the technical insights shared during the workshop.
