Design efficient models and handle complex data using a NoSQL database—MongoDB, including its fundamentals, CRUD operations, performance optimization, and more.

Computer Science Bootcamp

Unlike traditional structured data in relational databases, Not Only SQL (NoSQL) is a database system that offers a flexible, schema-less approach for handling large volumes of unstructured or semi-structured data. Semi-structured data refers to information that does not adhere to a predefined schema yet exhibits some level of organization or structure. Learning NoSQL, particularly MongoDB, is essential in today’s data-driven landscape due to the increasing prevalence of semi-structured and unstructured data. In this module, we’ll cover the fundamentals of MongoDB, including creating databases and collections, performing CRUD operations, updating and deleting documents, optimizing database performance, and exploring additional MongoDB topics. By the end of this module, we’ll be equipped with the knowledge to work confidently with MongoDB, design efficient database models, and handle complex data operations, opening up exciting career prospects.

Working with NoSQL Using MongoDB

We need to remember the following features of MongoDB when deciding whether to choose it as a database for our application or not.

1. Stores data in the form of JSON documents.
2. Supports indexing on document level and embedded document level.
3. Supports replication.
4. Supports auto-sharding.
5. Provides a way to write complex queries, supports aggregation, and joins using aggregation pipelines.
6. Supports horizontal scaling.
7. Supports database transactions, which is a core of RDBMS.
8. It’s an open-source database.
9. Allows easy performance tuning.
10. Can handle large data of any size.
11. Faster than a relational database as it does not have a predefined schema.


Introduction to Database and MongoDB

Create Database and Authorization

Performing CRUD Operations on MongoDB - Part 1

Performing CRUD Operations on MongoDB - Part 2

MongoDB Query and Database Performance

Learn Additional MongoDB Topics

Appendix

Conclusion

When Should We Use the MongoDB Database?