Try MongoDB 8.0 → https://mdb.link/01Mw4HAKQK8-try Sign-up for a free cluster → https://mdb.link/01Mw4HAKQK8-register Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Creating a schema for a relational database is a straightforward process. Designing a schema for a MongoDB application may seem a little more challenging. However, it does not have to be if you follow a simple methodology and the main principles MongoDB has identified for its users. This talk will go over the data modeling methodology and principles, as well as reveal additional modeling tips from countless data modeling design reviews done for our customers over the last few years. 00:00:00 - Introduction to Data Modeling for MongoDB 00:01:25 - Data Modeling in Today's World 00:04:32 - A Four-Phase Modeling Methodology 00:07:05 - Phase 1: Identifying Requirements & Entities 00:13:38 - Phase 2: Identifying the Workload 00:16:25 - Phase 3: Modeling Relationships (Embedding vs. Referencing) 00:19:54 - Phase 4: Applying Schema Design Patterns 00:20:46 - The Role of Data Duplication & Staleness 00:25:16 - The Extended Reference Pattern 00:26:47 - The Computed Pattern 00:28:56 - Approximating High-Frequency Counters 00:30:08 - The Archive Pattern 00:32:25 - The Schema Versioning Pattern 00:35:55 - Enforcing Your Design with Schema Validation 00:38:29 - Conclusion & How to Learn More Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog

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