Explore the concept of polyglot data in this 44-minute conference talk from GOTO Chicago 2014. Delve into the challenges of handling data and the importance of choosing the right model for specific problems. Learn about event sourcing, structural models, projections, and various database types including object and graph databases. Discover the pitfalls of using wrong models and the benefits of data separation. Gain insights into CQRS (Command Query Responsibility Segregation) and event stores. Understand how to reduce accidental complexity by focusing on selecting appropriate data models rather than forcing problems into predefined thinking. Enhance your ability to tackle complex data challenges and make informed decisions about data architecture in your projects.