Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- Foundational understanding of NoSQL and MongoDB concepts
- Hands-on experience applying CRUD operations on MongoDB documents
- The ability to query with filters, projections, and operators
- Understanding of data modeling and index optimization
- The ability to apply aggregation and data management techniques
Learning Roadmap
YOUR ROADMAP
1.
Introduction and Fundamentals
Introduction and Fundamentals
Explore NoSQL advantages and MongoDB's flexible architecture.
2.
Basic CRUD Operations
Basic CRUD Operations
Learn how to create a database, retrieve data, and optimize queries in MongoDB.
3.
Advanced CRUD Operations
Advanced CRUD Operations
7 Lessons
7 Lessons
Learn using basic query operators, document management techniques, and array handling for effective data analysis.
4.
Aggregation and Indexing
Aggregation and Indexing
9 Lessons
9 Lessons
Learn how to add stages in a MongoDB query pipeline, group data across multiple collections, and enhance query performance through indexing strategies.
5.
Data Modeling and Validation
Data Modeling and Validation
6 Lessons
6 Lessons
Learn about data modeling, validation, schema design, and access control in MongoDB.
6.
Data Portability and Setup
Data Portability and Setup
5 Lessons
5 Lessons
Get familiar with how to set up MongoDB locally on your machine, along with essential data portability techniques in MongoDB, i.e., importing, exporting, and backup strategies.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
In this beginner-friendly course on MongoDB, you will learn about NoSQL databases and discover how MongoDB’s flexible, document-oriented approach can simplify data management. You’ll learn to interact with MongoDB collections and documents through practical exercises and real-world examples.
You’ll start by understanding the core concepts of MongoDB, such as databases, collections, and documents, and move on to performing essential operations like inserting, querying, updating, and deleting data. As you progress, you’ll master techniques for filtering and projecting data, using powerful query operators to retrieve the necessary information.
By the end of the course, you’ll be comfortable modeling data for real applications, optimizing performance with indexes, analyzing data using the aggregation framework, and managing data import, export, and backup processes.
Trusted by 2.9 million developers working at companies
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Anthony Walker
@_webarchitect_
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Evan Dunbar
ML Engineer
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Software Developer
Carlos Matias La Borde
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Front-end Developer
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Vinay Krishnaiah
Software Developer
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