If you've ever found yourself questioning how to apply data modeling best practices to your projects, you're not going to want to miss this live stream.
Lauren Schaefer recently worked with Maxime Beugnet and Mark Smith to rapidly build an app. The app retrieves daily stats about YouTube videos and visualizes the data in a dashboard. In their two-week sprint to get a working MVP, they did their best to model the data, but they didn't get it all right the first time.
In this stream, Lauren will share six things she learned while modeling data for this app. You'll leave with practical data modeling tips you can apply to your next project that uses MongoDB.
MongoDB
Developer Advocate
MongoDB
Senior Developer Advocate
Lauren Hayward Schaefer is a developer advocate for MongoDB. She began her career as a software engineer for IBM where she held a variety of roles including full-stack developer, test automation specialist, social media lead, and growth hacking engineer. She went on to be a developer advocate at SugarCRM. She is an international speaker who is skilled in taking hard-to-understand topics and making them seem simple. Lauren holds a BS and MS in Computer Science from North Carolina State University and is the co-inventor of twelve issued United States patents.
MongoDB
Developer Advocate
MongoDB
Senior Developer Advocate
MongoDB
Developer Advocate
Associate Developer Advocate
