Data Modeling Mastery: Relational to MongoDB Document Architecture

Join our three-part workshop series to master the transition from relational models to MongoDB’s document architecture, covering everything from schema methodology to advanced analytics.

Master the art of document modeling to build faster and more efficient applications. This series bridges the gap between theory and practice by walking you through real-world scenarios.

We will cover the essential methodology and specific design patterns you need to know, followed by a deep dive into the Query API to help you extract insights from your data.

Part 1: Data Modeling Methodology
January 14 - 10 a.m. GMT
Unlock the true power of your data with the MongoDB Query API and the Aggregation Pipeline. As your data evolves in complexity, these high-precision tools become indispensable for intelligently retrieving, processing, and analyzing your rich JSON documents.

Part 2: Design Patterns & Anti-Patterns
January 21 - 10 a.m. GMT
Get hands-on experience with common schema design patterns, such as Extended Reference and Computed patterns, while learning exactly what not to do. We will identify performance-killing anti-patterns like unbounded arrays so you can ensure your database remains performant at scale.

Part 3: From SQL to MongoDB Query API
January 28 - 10 a.m. GMT
Transform your existing SQL knowledge into MongoDB prowess. In this final session, you will master CRUD operations and learn to build aggregation pipelines that extract powerful insights and analytics from your data.

What you’ll gain:

✅ A proven step-by-step framework for modeling document relationships.
✅ Strategies to utilize design patterns and avoid performance bottlenecks.
✅ Practical skills to translate SQL concepts into efficient MongoDB queries.

Reserve your spot now and join us for any or all sessions.