Watch more of .local London 2026 → https://www.youtube.com/playlist?list=PL4RCxklHWZ9tH01MTlChYwUqN8Cm2tl2r Speakers: Pete Johnson, Field CTO, AI, MongoDB Moving from a relational database to MongoDB isn't just a technology swap, it's a shift in how you think about data. This session demystifies that shift. We'll walk through why normalization made sense in the era of expensive storage, how denormalization unlocks performance at scale, and why the ERD still matters in a document model. You'll leave with a practical mental model for designing MongoDB schemas that reduce query complexity. 00:00:00 - Introduction to Pete Johnson 00:00:20 - Session Welcome: From RDBMS to NoSQL 00:00:50 - Pete’s Background & 1980s Computing 00:01:46 - Agenda: History, Definitions, & Use Cases 00:02:22 - The History of Relational Databases (1970) 00:03:10 - The Origin Story of MongoDB (2007) 00:03:52 - Modern Application Demands & Resource Scarcity 00:05:56 - E.F. Codd on Normalization vs. Denormalization 00:08:22 - How to Choose: SQL vs. NoSQL Approaches 00:09:49 - Example Walkthrough: Traditional SQL Layout 00:11:46 - The MongoDB Approach: Document Data Modeling 00:13:39 - Debunking Misconceptions: Schema Flexibility 00:14:56 - How to Get Free MongoDB Skill Badges 00:16:58 - Q&A: Normalization vs. Sharding in MongoDB 00:19:44 - Q&A: Low-Tech Coding for a Basketball Team in 1981 00:20:41 - Closing Remarks Subscribe to the MongoDB for Developers YouTube Channel: https://www.youtube.com/@MongoDBDevelopers?sub_confirmation=1 Sign-up for a free cluster → https://www.mongodb.com/cloud/atlas/register Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog MongoDB for Developers YouTube Channel → https://www.youtube.com/@MongoDBDevelopers

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