Building a Document-Oriented Database: A Step-by-Step Tutorial

In this tutorial, you will learn how to build a document-oriented database from scratch using Python. Document-oriented databases, like MongoDB, have gained popularity due to their scalability and flexibility. Through this tutorial, you will understand the core concepts of document-oriented databases and gradually enhance your database to achieve feature parity with MongoDB.

Starting with the basics, you will learn how to represent documents and collections using Python dictionaries and lists. You will then implement the core functionality of a document-oriented database, including inserting documents into collections and searching for documents based on specified criteria. As you progress, you will explore more advanced features like indexing for efficient search, aggregation, sorting, and filtering.

To make your database more robust and suitable for real-world applications, you will also explore the implementation of schema validation and transaction handling. These features are crucial in domains like finance and artificial intelligence, ensuring data quality and consistency.

By the end of this tutorial, you will have a solid understanding of how document-oriented databases work and the ability to build your own database that closely resembles systems like MongoDB. So let's dive in and start building your document-oriented database!