Throughout this lesson, we've explored Document-Oriented Databases from a practical approach where JSON-like documents are used for data organization to imitate popular Databases like MongoDB.

We initiated by setting up a basic Python class which acted as our database, complete with features to create, delete and modify key-value pairs. We then expanded to understand JSON-like documents, their structure, and how they can be stored within our Document-Oriented Database. To facilitate interaction with our database, we implemented methods to store, retrieve and query JSON-like documents.

In making our database robust, we considered several performance enhancing ideas, utilizing Python's data structures and built-in functionalities. Ultimately, we discussed how to make our database data persistent, extending our database's capabilities beyond volatile memory.

This process shows you a miniature version of how commercial Document-Oriented Databases operate, and by building your own, you have developed a deep understanding of under-the-hood workings of these databases.

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if __name__ == "__main__":

  # Python logic here

  print("Reviewing the concepts we learned in this lesson")