From Tables to Documents -- Changing Your Database Mindset

Data & AI

When you need to model data, is your first instinct to start breaking it down into rows and columns? Mine used to be too. When you want to develop apps in a modern, agile way for huge amounts of potentially unstructured data, document-based databases can be the best option. Come to this talk to learn how to take advantage of all that document-based databases have to offer and discover the benefits of changing your mindset from the tabular way of modeling data. We’ll compare and contrast the terms and concepts in tabular databases and document-based databases, explain the benefits of using document-based databases compared to tabular databases, and walk through data modeling basics so you feel confident as you begin using document-based databases.

Relational Database

Lauren Schaefer


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.