Today, we're embarking on a journey into MongoDB. We'll be unveiling Schemas, Models, and Data Read Operations. In simpler terms, Schemas form the database structure, Models generate data, and Data Read Operations fetch it. So, let's go!

A Schema in MongoDB is akin to an architectural blueprint. In our analogy, it functions as the layout for organizing books in a library. A Schema consists of:

• Fields (individual pieces of data)
• Types (the kind of data for each field)
• Validators (functions that ensure the data meets certain criteria)

Let's create a Schema in which the fields represent different book categories.

We've generated a Book Schema with title, author, and isbn. MongoDB comes packed with built-in validation options to maintain data consistency.

We then export the bookSchema, which other files can access via "Book".