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The cornerstone of any application is the data model, and mobile and IoT apps are no exception. A good data model can form the basis for an agile application, an adaptable functionality roadmap, and a great customer experience. A bad data model is often behind rigid, poorly performing applications and unhappy customers. In abstract, data modeling can be an interesting and wide-ranging topic. But data modeling discussions are most useful within the context of a real-world application.
In this session you’ll get hands on with the brand new Couchbase Mobile 2.0 and learn how to define models for a multi-user to-do list application. We will demonstrate how to implement the data model in classes using the new Couchbase Lite 2.0 API and will cover defining models, supported data types in models, models for subdocuments, attachments, relationships, and inheritance.