The blog post discusses the importance of JSON data modeling in document databases like Couchbase, contrasting it with relational databases which rely on data normalization through separate tables and foreign keys. It explores two main approaches for modeling data relationships in JSON: keeping data normalized across separate documents or denormalizing by nesting data within a parent document. Using an example of invoices and invoice items, the author demonstrates how to transition from a normalized model, similar to relational databases, to a denormalized model, which may be more suitable in certain situations due to its efficiency in retrieving related data. The post further explains the process of transforming data from a staging bucket to an operational bucket using Couchbase's N1QL language, emphasizing the flexibility and efficiency of JSON modeling in handling data migration from relational to NoSQL databases. It highlights the considerations involved in choosing between modeling approaches, underscoring that the best practice is guided by specific application needs and user experience.