MONGODB DATABASE MANAGEMENT

COMPUTER PARK - MONGODB

The SQLite Database Management Course at Computer Park is designed to provide students, developers, and aspiring data professionals with a strong foundation in lightweight, embedded database systems. SQLite is one of the most widely used database engines in mobile apps, desktop software, IoT devices, modern web applications, and data-driven tools across the tech industry. This course focuses on practical, real-world skills that enable learners to design, implement, and manage efficient SQLite databases for applications of all scales.

Across this comprehensive training program, students learn how to install and configure SQLite, work with its command-line shell, and integrate it seamlessly into various programming environments such as Python, JavaScript, Flutter, Node.js, and mobile development frameworks. The course covers essential database concepts including tables, indexes, relationships, constraints, views, and transactions—ensuring that learners gain full control over data storage and retrieval operations.

A major highlight of the program is hands-on practice. Every module includes real-world examples, exercises, and mini-projects such as building an inventory management system, student record system, personal finance tracker, or app-based local storage module. Learners also explore database optimization techniques, query tuning, data security measures, and backup strategies tailored specifically for SQLite’s architecture.

In addition, the course introduces learners to ORM integrations like SQLAlchemy, Prisma, and Flutter’s SQLite package, allowing students to work with SQLite across modern development stacks. By the end of the course, students will have the knowledge to efficiently design normalized databases, write optimized SQL queries, integrate SQLite into software applications, and manage end-to-end data workflows.

Whether you are planning to build mobile apps, desktop utilities, IoT solutions, or database-driven tools, this course at Computer Park equips you with industry-relevant skills and practical experience. With expert guidance, real projects, and a skill-focused approach, students graduate confidently prepared to use SQLite in professional software development environments and personal projects alike.

Course Outline for MONGODB DATABASE MANAGEMENT

Course Duration: 16 weeks (4 months) 

Course Level: Beginner to Intermediate

Prerequisites: Basic understanding of programming concepts. Familiarity with any programming language is a plus

📅 Month 1: MongoDB Fundamentals & Core Concepts

      Week 1: Introduction to NoSQL & MongoDB

       ---  Understanding SQL vs NoSQL

       ---  Types of NoSQL databases

       ---  Introduction to MongoDB and its ecosystem

       ---  Installing MongoDB & MongoDB Compass

       ---  Overview of BSON, collections, and documents

      Week 2: Basic CRUD Operations

       ---  Creating databases and collections

       ---  Insert operations: insertOne, insertMany

       ---  Read operations using find queries

       ---  Update and delete operations

       ---  Hands-on practice with Compass & Shell

      Week 3: Data Modeling Basics

       ---  Document structure & nested documents

       ---  Embedded vs referenced documents

       ---  Schema design best practices

       ---  Data types and validation rules

      Week 4: Query Operators & Filters

       ---  Comparison operators

       ---  Logical operators

       ---  Element & array operators

       ---  Practical filtering exercises

📅 Month 2: Advanced MongoDB Operations

      Week 5: Indexing Fundamentals

       ---  What are indexes?

       ---  Creating single-field & compound indexes

       ---  Index performance analysis

       ---  Text indexes & search

      Week 6: Aggregation Framework – Part 1

       ---  Introduction to aggregation pipelines

       ---  $match, $group, $project, $sort

       ---  Building analytical queries

       ---  Hands-on tasks

      Week 7: Aggregation Framework – Part 2

       ---  $lookup for joins

       ---  $unwind, $facet, $bucket, $addFields

       ---  Real-world analytics examples

      Week 8: Data Relationships & Schema Design Patterns

       ---  One-to-one, one-to-many, many-to-many

       ---  Embedding vs referencing

       ---  Common schema patterns: bucket, subset, extended reference

       ---  Case studies

📅 Month 3: MongoDB for Application Development

      Week 9: MongoDB with Node.js

       ---  Setting up Node.js

       ---  Installing and using MongoDB Node.js driver

       ---  Connecting Node apps to MongoDB

       ---  Performing CRUD via APIs

      Week 10: MongoDB with Mongoose ODM

       ---  Mongoose introduction & setup

       ---  Creating models & schemas

       ---  Middleware, hooks & validators

       ---  Relationships in Mongoose

      Week 11: Building REST APIs

       ---  Building CRUD-based REST services

       ---  Error handling & validations

       ---  Pagination & sorting using MongoDB

       ---  Practical project: Basic API

      Week 12: Authentication & Security

       ---  JWT-based authentication

       ---  Role-based access in MongoDB

       ---  CRUD with authenticated routes

       ---  Secure schema patterns

📅 Month 4: Administration, Optimization & Project

      Week 13: MongoDB Administration Basics

       ---  Database backup & restore

       ---  Users, roles & permissions

       ---  Monitoring & logs

      Week 14: Performance Optimization

       ---  Query optimization techniques

       ---  Understanding execution plans

       ---  Sharding concepts

       ---  Replication overview for high availability

      Week 15: Cloud Deployment (MongoDB Atlas)

       ---  Creating clusters in Atlas

       ---  Configuring network access & security

       ---  Working with Atlas UI

       ---  Backup, alerts & scaling options

      Week 16: Final Project Development

       ---  Full-stack mini project integrating MongoDB

       ---  Project options:

              ---- Student Management System

              ---- Ecommerce backend

              ---- Inventory management system

              ---- Blog CMS backend

       ---  Final evaluation & presentation

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