MongoDB Tutorial

 

Introduction to MongoDB

1. Overview of NoSQL Databases

   • What is NoSQL?
   • Types of NoSQL Databases
   • Introduction to MongoDB
   • Use Cases for MongoDB

2. Getting Started with MongoDB

   • Installing MongoDB (Community Edition, MongoDB Atlas)
   • Introduction to MongoDB Shell
   • Basic MongoDB Commands
   • MongoDB Data Types

Basic MongoDB Concepts

3. CRUD Operations

   • Creating Documents (insertOne, insertMany)
   • Reading Documents (find, findOne)
   • Updating Documents (updateOne, updateMany, findOneAndUpdate)
   • Deleting Documents (deleteOne, deleteMany, findOneAndDelete)

4. Data Modeling

   • Document Structure
   • Embedded Documents vs. References
   • Designing Schemas
   • Schema Validation

5. Indexes

   • Introduction to Indexes
   • Creating Indexes (createIndex)
   • Types of Indexes (Single Field, Compound, Multikey, Text, Geospatial)
   • Index Properties (Unique, Sparse, TTL)

Intermediate MongoDB Concepts

6. Aggregation Framework

   • Introduction to Aggregation
   • Aggregation Pipeline ($match, $group, $sort, $project, $limit, $skip)
   • Working with Arrays ($unwind, $push, $addToSet)
   • Using $lookup for Joins

7. Advanced CRUD Operations

   • Bulk Write Operations
   • Upserts
   • Using Projection to Control Returned Fields
   • Pagination Techniques

8. Data Modeling Best Practices

   • Normalization vs. Denormalization
   • Trade-offs in Data Modeling
   • Optimizing Schema Design for Read and Write Performance

Advanced MongoDB Concepts

9. Transactions

   • Introduction to Transactions
   • Multi-Document ACID Transactions
   • Implementing Transactions in MongoDB

10. Replication

    • Introduction to Replication
    • Replica Sets
    • Configuring Replica Sets
    • Failover and Recovery

11. Sharding

    • Introduction to Sharding
    • Shard Keys and Data Distribution
    • Setting Up a Sharded Cluster
    • Balancing and Managing Shards

12. Security

    • Authentication and Authorization
    • Role-Based Access Control (RBAC)
    • Encryption (In-Transit, At-Rest)
    • Secure MongoDB Deployment Best Practices

MongoDB in Practice

13. MongoDB with Programming Languages

    • MongoDB Drivers (Node.js, Python, Java, etc.)
    • Basic CRUD Operations with Drivers
    • Working with ODMs (Mongoose for Node.js, PyMongo for Python)

14. Performance Tuning

    • Query Optimization
    • Analyzing and Understanding Explain Plans
    • Performance Monitoring Tools

15. Backup and Recovery

    • Backup Strategies (mongodump, mongorestore)
    • Point-In-Time Recovery
    • Using Cloud Backup Services

Advanced Topics

16. Full-Text Search

    • Creating and Using Text Indexes
    • Text Search Operators
    • Advanced Text Search Features (Stemming, Stop Words)

17. Geospatial Data

    • Introduction to Geospatial Indexes
    • Geospatial Queries ($geoWithin, $geoIntersects, $near)
    • Working with GeoJSON

18. Working with Big Data

    • Integration with Big Data Technologies (Hadoop, Spark)
    • MongoDB as a Data Lake

19. Serverless and Cloud Deployments

    • MongoDB Atlas Overview
    • Deploying MongoDB on AWS, Azure, and GCP
    • Using MongoDB Stitch (MongoDB Realm)

Final Projects and Best Practices

20. Capstone Project

    • Building a Complete Application with MongoDB
    • Implementing Advanced Features (Transactions, Aggregation, Full-Text Search)
    • Performance Tuning and Optimization

21. Best Practices

    • Data Modeling Best Practices
    • Indexing Best Practices
    • Monitoring and Maintenance