Course Description
This course is the ultimate guide to mastering MongoDB and the document database paradigm. We take you on a journey from the absolute basics of NoSQL to the advanced, production-grade features that power modern applications. You will learn not just how to use MongoDB, but how to think in terms of documents, design efficient schemas, and optimize for performance at scale.
We begin by exploring the fundamentals of the document model, BSON, and performing core CRUD operations. You'll quickly move on to advanced querying, mastering the art of indexing for high-speed reads, and unlocking the power of the Aggregation Framework to perform complex data analysis. The course includes dedicated modules on data modeling patterns, ensuring you design schemas that are both efficient and scalable.
For developers, we provide an in-depth look at using Mongoose to interact with MongoDB in a Node.js environment. We also cover critical operational topics like security, transactions, replication for high availability, and sharding for horizontal scaling. By the end, you will be proficient in developing and managing robust MongoDB databases.
What You'll Learn:
- Core concepts of NoSQL and the document data model.
- Mastering CRUD operations and advanced querying techniques.
- In-depth data modeling and schema design patterns.
- Performance tuning with indexing and query analysis.
- The Aggregation Framework for complex data processing.
- Using Mongoose in a Node.js application.
- Implementing transactions for data integrity.
- Ensuring high availability with Replica Sets.
- Scaling horizontally with Sharding.
- Security, backup, and restore best practices.
- Advanced features like Change Streams, Full-Text Search, and Geospatial Queries.
Who Is This Course For?
This course is designed for developers of all levels. It's perfect for backend developers wanting to master a modern database, front-end developers aiming to become full-stack, and database administrators looking to expand their skills into the NoSQL world. No prior database experience is required.
Prerequisites:
- Basic Computer Literacy: Familiarity with using a computer and navigating file systems.
- Basic Understanding of Data: General knowledge of what data is and how it might be organized.
- A Computer/Laptop: You'll need a working computer (Windows, macOS, or Linux) with an internet connection.
- A Willingness to Learn: Your enthusiasm to master NoSQL databases is the most important prerequisite!
Features hands-on labs, a complete project database schema, and a certificate of completion. Available in English and Hindi.
1. What is NoSQL? (SQL vs NoSQL Databases)
20min
2. Introduction to MongoDB and the Document Model
25min
3. Understanding JSON and BSON (Binary JSON)
15min
4. Recap & Practical Task: Explore JSON Structures
20min
5. Installing MongoDB Locally (Windows, macOS, Linux)
25min
6. Getting Started with MongoDB Atlas (The Cloud Database Service)
20min
7. Exploring the Mongo Shell and MongoDB Compass GUI
30min
8. Recap & Practical Task: Connect to MongoDB Locally and on Atlas
30min
9. Understanding Databases, Collections, and Documents
15min
10. Create Operations: `insertOne()` and `insertMany()`
25min
11. Read Operations: `find()` (Basic Queries) and `findOne()`
30min
12. Update Operations: `updateOne()`, `updateMany()`, and Document Replacement (`replaceOne()`)
35min
13. Delete Operations: `deleteOne()` and `deleteMany()`
20min
14. Recap & Practical Task: Perform Basic CRUD on Sample Data
40min
15. Querying with Comparison Operators (`$eq`, `$ne`, `$gt`, `$gte`, `$lt`, `$lte`, `$in`, `$nin`)
25min
16. Logical Operators (`$and`, `$or`, `$not`, `$nor`)
20min
17. Element Operators (`$exists`, `$type`)
15min
18. Querying on Embedded Documents and Arrays (`dot notation`, `$elemMatch`)
30min
19. Array Operators (`$all`, `$size`, `$push`, `$pop`, `$addToSet`)
30min
20. Controlling Projections to Shape Results (`include/exclude fields`)
20min
21. Regular Expression Queries (`$regex`)
15min
22. Recap & Practical Task: Write Complex Queries on a Nested Dataset
50min
23. What are Indexes? How They Work in MongoDB
20min
24. Creating Single Field and Compound Indexes
30min
25. Understanding Query Execution with `explain()`
25min
26. Specialized Indexes: Multikey, TTL (Time-To-Live), and Unique Indexes
30min
27. Text Indexes for Full-Text Search (Basic)
20min
28. Managing Indexes (Listing, Dropping)
15min
29. Recap & Practical Task: Create Indexes and Analyze Query Performance
50min
30. Introduction to the Aggregation Pipeline: Concepts and Structure
25min
31. Core Stages: `$match` and `$project`
35min
32. Core Stages: `$group` for Data Summarization
40min
33. Core Stages: `$sort`, `$limit`, and `$skip`
25min
34. Recap & Practical Task: Aggregate Sales Data with Core Stages
1hr
35. Joining Collections with `$lookup` (Left Outer Join Equivalent)
35min
36. Working with Arrays in Aggregation: `$unwind` and `$addFields`
30min
37. Advanced Stages: `$facet` for Multi-Faceted Aggregation
35min
38. Advanced Stages: `$bucket` and `$bucketAuto` for Grouping Documents
30min
39. Advanced Stages: `$redact` for Document Access Control
25min
40. Aggregation Pipeline Optimization Techniques
20min
41. Recap & Practical Task: Build a Complex Aggregation Pipeline for Reporting
1hr 15min
42. Embedding vs. Referencing: Key Design Decision in NoSQL
30min
43. Modeling One-to-One and One-to-Many Relationships
35min
44. Modeling Many-to-Many Relationships
30min
45. Common Schema Design Patterns (e.g., Attribute Patterns, Subset Patterns)
30min
46. Handling Polymorphic Associations
20min
47. Recap & Practical Task: Design a Schema for a Social Media Application
1hr
48. Understanding ACID Compliance in MongoDB (Document vs. Multi-Document)
20min
49. Implementing Multi-Document Transactions
35min
50. Transaction Retries and Error Handling
20min
51. Recap & Practical Task: Implement a Transaction for a Banking Transfer Scenario
45min
52. Connecting a Node.js/Express App with Mongoose
25min
53. Creating Schemas and Models in Mongoose
30min
54. Performing CRUD Operations with Mongoose
35min
55. Recap & Practical Task: Build a Simple API with Node.js and Mongoose
1hr
56. Schema Validation and Virtual Properties
25min
57. Mongoose Middleware (Hooks) for Pre/Post Operations
20min
58. Populating Relationships Across Collections with Mongoose
30min
59. Using the Native MongoDB Node.js Driver (Beyond Mongoose)
25min
60. Recap & Practical Task: Add Advanced Features to Your Mongoose API
1hr
61. Authentication and Built-in Roles in MongoDB
25min
62. Role-Based Access Control (RBAC) Implementation
30min
63. Network Security: Encryption in Transit (TLS/SSL)
20min
64. User Management Best Practices
15min
65. Recap & Practical Task: Configure User Authentication and Roles
45min
66. What is a Replica Set? Concepts and Architecture
20min
67. Failover and Election Process in Replica Sets
25min
68. Read and Write Concerns: Balancing Consistency and Performance
30min
69. Practical Task: Set up a Local Replica Set (Conceptual Walkthrough)
40min
70. Recap & Practical Task: Understand Replica Set Behavior
30min
71. The Need for Sharding: Horizontal Scaling Explained
20min
72. Sharding Architecture and Components (Mongos, Config Servers, Shards)
30min
73. Choosing a Good Shard Key (Cardinality, Distribution, Frequency)
35min
74. Recap & Practical Task: Design a Shard Key Strategy for a High-Volume Application
45min
75. Backup Strategies: `mongodump` and Cloud Backups (Atlas)
30min
76. Restoring Data with `mongorestore`
25min
77. Monitoring Database Performance (Atlas Monitoring, `mongostat`, `mongotop`)
30min
78. Recap & Practical Task: Perform a Backup and Explore Monitoring Metrics
40min
79. Real-time Updates with Change Streams
30min
80. Full-Text Search Capabilities (`$text` operator and Atlas Search)
30min
81. Geospatial Queries (`$geoWithin`, `$near`)
30min
82. Recap & Practical Task: Implement a Geospatial Search Feature
50min
83. Project Overview and Data Modeling for an E-commerce Platform
45min
84. Building the Schemas and Relationships (Embedding vs. Referencing Decisions)
1hr
85. Writing Complex Queries and Aggregations for the Application
1hr 30min
86. Implementing Basic Security and Optimization
45min
87. Final Review, Project Submission & Course Conclusion
1hr
