NoSQL for Developers
MongoDB is a NoSQL database that stores data in flexible, JSON-like documents, which makes it ideal for handling unstructured or semi-structured data. In this course, you’ll learn how to set up and use MongoDB to store, manage, and query data for your web applications. You’ll dive deep into key concepts like collections, documents, aggregation, and indexing. By the end of the course, you’ll be equipped to integrate MongoDB with your backend applications, perform complex queries, and scale your databases for production-level applications.
Overview of MongoDB, its advantages, and how it compares to traditional relational databases (SQL).
Install MongoDB and set up your local and cloud-based MongoDB environments (e.g., MongoDB Atlas).
Learn how MongoDB stores data in collections and documents, and how to design your data model.
Learn how to perform Create, Read, Update, and Delete operations in MongoDB using the MongoDB shell and MongoDB Compass.
Understand how to use query operators to filter and retrieve data from MongoDB collections.
Dive into more advanced querying techniques such as sorting, projection, and regular expression queries.
Master MongoDB’s powerful aggregation framework to perform complex data transformations and analysis.
Learn about indexing and how to optimize queries for faster performance.
Understand how to model relationships between documents using embedding and referencing.
Implement security best practices, including authentication, authorization, and data encryption.
Basic knowledge of JavaScript (preferably after completing the Node.js & Express courses).
A computer with internet access.
MongoDB installed locally or use of MongoDB Atlas (cloud-based database).
Code editor: Visual Studio Code (recommended).
Familiarity with basic database concepts (optional but helpful).
Master MongoDB for NoSQL development: Learn how to use MongoDB to store and manage data for modern applications.
Optimize your queries: Learn how to query, index, and aggregate data to ensure fast and efficient performance.
Scale your applications: Understand how to scale MongoDB for large applications with massive amounts of data.
Handle unstructured data: Use MongoDB’s flexible schema to manage unstructured or semi-structured data in your apps.
Implement data security: Ensure your applications are secure with best practices in authentication and data encryption.
Prepare for real-world projects: By the end of the course, you’ll have the skills to use MongoDB effectively in production environments.
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