This post discusses data modeling for document databases like MongoDB, focusing on PHP-centric examples to illustrate differences between relational and document databases. The author presents two scenarios: a blog example with posts, comments, tags, authors, categories, and users, and a private sale/e-commerce scenario with orders, users, products, and inventory management. The post explains how these scenarios can be modeled using MongoDB's document structure, highlighting the benefits of embedded lists and equi-join approaches over traditional relational database methods. It also discusses scalability and search considerations when choosing between these approaches.