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NoSQL Databases: MongoDB

Understand the core principles of MongoDB, a prominent NoSQL database

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Certificate :

After Completion

Start Date :

10-Jan-2025

Duration :

30 Days

Course fee :

$150

COURSE DESCRIPTION:

  1.  Understand the core principles of MongoDB, a prominent NoSQL database. 

  2. Learn to design, implement, and enhance non-relational databases for contemporary applications. 

  3. Explore MongoDB’s architecture, data modeling techniques, querying methods, and performance tuning.

  4. Engage in practical exercises to develop expertise in managing large-scale, distributed databases. 

  5. Apply your skills across diverse scenarios, including web applications and data analytics.

CERTIFICATION:

  1. Earn a Certified MongoDB Database Specialist credential, demonstrating your proficiency in designing and managing NoSQL databases using MongoDB.

LEARNING OUTCOMES:

By the conclusion of the course, participants will possess the skills to:

  1. Recognize the fundamental distinctions between NoSQL and relational databases. 

  2. Set up and configure a MongoDB database environment effectively. 

  3. Create optimized MongoDB schemas utilizing collections and documents. 

  4. Execute CRUD operations with the MongoDB query language proficiently. 

  5. Utilize indexing and aggregation pipelines to improve database performance.

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Course Curriculum

Introduction to NoSQL and MongoDB
  1. Overview of NoSQL databases and their types: Key-Value, Document, Column-Family, Graph.
  2. Advantages of NoSQL over traditional RDBMS.
  3. What is MongoDB? Features and benefits.
  4. Setting up MongoDB (locally and on the cloud).
MongoDB Basics
  1. Understanding the MongoDB architecture: Documents, collections, and databases.
  2. BSON format and its significance.
  3. CRUD operations:
    • Create: insertOne, insertMany.
    • Read: find, findOne, and query operators.
    • Update: updateOne, updateMany, replaceOne.
    • Delete: deleteOne, deleteMany.
  4. Understanding primary and secondary indexes.
MongoDB Query Language (MQL)
  1. Query operators: $eq, $gt, $lt, $in, $regex.
  2. Logical operators: $and, $or, $not.
  3. Projection: Selecting specific fields in a document.
  4. Sorting and pagination: sort(), limit(), skip().
  5. Aggregation framework basics: $match, $group, $sort.
Data Modeling in MongoDB
  1. Schema design for MongoDB: Embedded vs. referenced documents.
  2. Handling one-to-one, one-to-many, and many-to-many relationships.
  3. Best practices for data modeling in a NoSQL environment.
  4. Data normalization and denormalization in MongoDB.
Indexing and Performance Optimization
  1. Creating and managing indexes: Single field, compound, text, and geospatial indexes.
  2. Query performance analysis with explain() and profiler.
  3. Sharding and horizontal scaling in MongoDB.
  4. Managing large datasets and optimizing reads/writes.
Advanced MongoDB Features
  1. Aggregation framework in detail:
    • $lookup, $unwind, $project, $facet, $bucket.
    • Performing complex data transformations and analytics.
  2. Working with transactions in MongoDB.
  3. Implementing change streams for real-time data monitoring.
Integration with Applications
  1. Connecting MongoDB with programming languages (Python, Node.js, etc.).
  2. Using Mongoose with Node.js for schema validation.
  3. MongoDB Atlas: Cloud-based MongoDB services.
  4. Backup and recovery strategies.
Capstone Project
  1. Build a real-world application using MongoDB as the database.
    • Examples:
      • A blog application with user authentication and post management.
      • A product catalog for an e-commerce platform.
      • A real-time chat application with message storage and search capabilities.

Training Features

Practical Hands-On Training

Work on real-world projects to understand MongoDB concepts and use cases.

Industry-Relevant Topics

Learn to handle large-scale data with sharding, indexing, and aggregation.

Cloud Integration

Get hands-on experience with MongoDB Atlas for cloud-based database management.

Developer Focused

Learn to integrate MongoDB with programming languages like Python and Node.js.

Performance Optimization

Master techniques for query optimization and efficient database design.

Certification

Earn a completion certificate to validate your MongoDB expertise.

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