MongoDB یک پایگاه داده NoSQL محبوب است که به دلیل انعطاف‌پذیری، مقیاس‌پذیری و توانایی مدیریت داده‌های بدون ساختار یا نیمه ساختار یافته شناخته شده است. برخلاف پایگاه‌های داده رابطه‌ای سنتی، MongoDB داده‌ها را در قالبی سندگرا با استفاده از اسناد BSON شبیه JSON ذخیره می‌کند و آن را برای برنامه‌های مدرن که نیاز به عملکرد بالا، تجزیه و تحلیل بلادرنگ یا ساختارهای داده پیچیده دارند، ایده‌آل می‌سازد.
به دلیل مقیاس‌پذیری افقی و سهولت ادغام با فریمورک‌های مدرن، به طور گسترده در توسعه وب، محاسبات ابری و برنامه‌های کلان داده استفاده می‌شود. یادگیری MongoDB برای توسعه‌دهندگان نرم‌افزار، توسعه‌دهندگان وب و مدیران پایگاه داده برای طراحی و مدیریت پایگاه‌های داده برای برنامه‌های پویا و داده‌محور ضروری است.
یک مدرس خصوصی می‌تواند با آموزش مفاهیم اصلی MongoDB، مانند مجموعه‌ها، پرس‌وجوها (Query)، نمایه‌سازی و تکثیر، از طریق پروژه‌های عملی و واقعی مانند ساخت APIهای RESTful یا برنامه‌های وب پویا، روند یادگیری را تسریع کند و در عین حال مباحث پیشرفته‌ای مانند خرد کردن (sharding) و خطوط لوله تجمیع (aggregation pipelines) را برای تخصص آماده به کار معرفی کند.

دوره مقدماتی پایگاه داده MongoDB

Chapter 1: Introduction to Databases
  • Lesson 1: What Are Databases? (SQL vs. NoSQL)
  • Lesson 2: Types of Databases (Relational, Document, Key-Value, Columnar, Graph)
  • Lesson 3: Popular Databases: MySQL, PostgreSQL, MongoDB, Oracle, Cassandra, etc.
  • Lesson 4: SQL vs. NoSQL: Key Differences and Use Cases
  • Lesson 5: Comparing MongoDB with Other Databases
  • Lesson 6: The Role of NoSQL Databases in Modern Applications
Chapter 2: Introduction to MongoDB
  • Lesson 1: What is MongoDB?
  • Lesson 2: History and Evolution of MongoDB
  • Lesson 3: Key Features and Benefits of MongoDB
  • Lesson 4: MongoDB’s Flexible Schema and Document Model
  • Lesson 5: Understanding the MongoDB Ecosystem (MongoDB Atlas, Compass, Shell, etc.)
  • Lesson 6: Differences Between MongoDB Editions (Community, Enterprise, Atlas)
Chapter 3: Setting Up MongoDB
  • Lesson 1: System Requirements for MongoDB Installation
  • Lesson 2: Installing MongoDB on Windows
  • Lesson 3: Installing MongoDB on macOS
  • Lesson 4: Installing MongoDB on Linux (Using apt/yum)
  • Lesson 5: Setting Up MongoDB Compass as an IDE
  • Lesson 6: Using MongoDB Shell and MongoDB Atlas
  • Lesson 7: Verifying and Testing the Installation
Chapter 4: MongoDB Basics
  • Lesson 1: MongoDB Architecture Overview
  • Lesson 2: Connecting to MongoDB Server
  • Lesson 3: MongoDB Data Model: Documents, Collections, and Databases
  • Lesson 4: Creating Your First Database and Collection
  • Lesson 5: Data Types in MongoDB (String, Number, Object, Array, Date, Boolean, etc.)
  • Lesson 6: Inserting, Updating, and Deleting Documents
Chapter 5: Querying Data in MongoDB
  • Lesson 1: Writing Basic Queries with find()
  • Lesson 2: Filtering Data with Query Operators ($eq, $gt, $lt, $in, etc.)
  • Lesson 3: Sorting and Limiting Results
  • Lesson 4: Working with Aggregation Pipeline
  • Lesson 5: Using Projection to Select Specific Fields
  • Lesson 6: Combining Data with Lookup (Joins in MongoDB)
Chapter 6: MongoDB CRUD Operations
  • Lesson 1: Creating Documents with insertOne() and insertMany()
  • Lesson 2: Reading Documents with find() and findOne()
  • Lesson 3: Updating Documents with updateOne() and updateMany()
  • Lesson 4: Deleting Documents with deleteOne() and deleteMany()
  • Lesson 5: Using Bulk Write Operations
Chapter 7: Indexing in MongoDB
  • Lesson 1: Importance of Indexing in MongoDB
  • Lesson 2: Creating and Using Indexes
  • Lesson 3: Compound Indexes and Their Use Cases
  • Lesson 4: Text Indexing for Full-Text Search
  • Lesson 5: Geospatial Indexes for Location-Based Queries

دوره پیشرفته پایگاه داده MongoDB

Chapter 1: Advanced Features in MongoDB
  • Lesson 1: Overview of New Features in MongoDB Releases
  • Lesson 2: Transactions in MongoDB (Multi-Document ACID Transactions)
  • Lesson 3: Change Streams for Real-Time Data Updates
  • Lesson 4: Time Series Collections and Data Analysis
  • Lesson 5: Multi-Cloud and Multi-Region Deployment
Chapter 2: Schema Design and Optimization
  • Lesson 1: Principles of NoSQL Schema Design
  • Lesson 2: Normalization vs. Denormalization in MongoDB
  • Lesson 3: Using Embedded Documents and References
  • Lesson 4: Best Practices for Scaling MongoDB Schema
Chapter 3: MongoDB Aggregation Framework
  • Lesson 1: Introduction to Aggregation Pipeline
  • Lesson 2: Common Aggregation Operators ($match, $group, $sort, etc.)
  • Lesson 3: Using $lookup for Joins
  • Lesson 4: Performance Considerations for Aggregation Queries
Chapter 4: Backup and Recovery
  • Lesson 1: Importance of Backups in MongoDB
  • Lesson 2: Creating Snapshots and Backups
  • Lesson 3: Using mongodump and mongorestore for Backup and Restore
  • Lesson 4: Point-in-Time Recovery in MongoDB Atlas
  • Lesson 5: Automating Backup Strategies
Chapter 5: Security and User Management
  • Lesson 1: Securing the MongoDB Server
  • Lesson 2: User Roles and Role-Based Access Control (RBAC)
  • Lesson 3: Authentication and Authorization in MongoDB
  • Lesson 4: Auditing and Logging Security Events
  • Lesson 5: Encryption in MongoDB
Chapter 6: Replication and High Availability
  • Lesson 1: Introduction to MongoDB Replication
  • Lesson 2: Setting Up a Replica Set
  • Lesson 3: Replica Set Failover and Recovery
  • Lesson 4: Read Preference and Write Concerns
  • Lesson 5: Multi-Data Center Replication
Chapter 7: Sharding and Scalability
  • Lesson 1: Introduction to Sharding in MongoDB
  • Lesson 2: Configuring a Sharded Cluster
  • Lesson 3: Choosing a Shard Key
  • Lesson 4: Managing and Monitoring a Sharded Cluster
  • Lesson 5: Best Practices for Scaling MongoDB
Chapter 8: Working with MongoDB in Cloud Environments
  • Lesson 1: Deploying MongoDB on AWS, Azure, and GCP
  • Lesson 2: Using MongoDB Atlas for Managed Database Services
  • Lesson 3: Connecting MongoDB to Cloud Applications
  • Lesson 4: Cost Optimization Strategies for MongoDB Cloud
Chapter 9: Integrating MongoDB with Programming Languages
  • Lesson 1: Connecting MongoDB with Python (PyMongo)
  • Lesson 2: Working with MongoDB in Node.js
  • Lesson 3: Using MongoDB with Java and Spring Boot
  • Lesson 4: Integrating MongoDB with .NET and C#
  • Lesson 5: MongoDB in Mobile Applications (Flutter, React Native)
Chapter 10: Monitoring and Performance Tuning
  • Lesson 1: Monitoring MongoDB with MongoDB Atlas Metrics
  • Lesson 2: Using mongostat and mongotop for Performance Insights
  • Lesson 3: Query Optimization Techniques
  • Lesson 4: Configuring MongoDB for High Performance
  • Lesson 5: Troubleshooting Common Performance Issues
Chapter 11: Advanced Tools and Debugging
  • Lesson 1: Working with MongoDB Compass for Visual Queries
  • Lesson 2: Debugging MongoDB Queries and Indexing Issues
  • Lesson 3: Performance Testing and Benchmarking MongoDB
  • Lesson 4: Common Errors and Troubleshooting Techniques