Course Details
MongoDB Mastery
Database
Created On
July 05, 2023Description
MongoDB is an open-source, NoSQL database system that stores data in flexible, JSON-like documents. It offers scalability, high availability, and a rich query language, making it popular for handling large-scale applications and big data.
Overview
This MongoDB course provides a comprehensive understanding of MongoDB, covering data modeling, CRUD operations, advanced queries, indexing, and integration with programming languages. Through practical projects, students gain hands-on experience and acquire valuable skills for careers in database management and NoSQL technologies. No prior database experience is required, making it accessible to all students interested in learning MongoDB.
Features
- Course material
- Course resources
- Instructor Lead Live Class.
- Practical exercises
- Quizzes
- Assignments
- Course completion certificate
- Lifetime Dashboard access
What you'll learn
- What is MongoDB: NoSQL database system for flexible data storage.
- MongoDB workings: Document-oriented model, scalability, and high availability.
- Mocha: Testing framework for MongoDB applications.
- MongoDB's big umbrella: Sharding, replication, and aggregation framework.
- MongoDB installation on macOS and Windows.
- CRUD operations in MongoDB: Create and Read.
- ObjectID and BSON in MongoDB: Unique identifier and binary storage format.
- Triple A and CRUD operations in MongoDB: Authentication, Authorization, Auditing.
- UpdateOne and DeleteOne operations in MongoDB: Single document updates and deletions.
- UpdateMany and DeleteMany operations in MongoDB: Multiple document updates and deletions.
- Database issues with Update in MongoDB: Conflicts, inconsistencies, and indexing problems.
Prerequisites
Curriculum
- 34 modules
Introduction to MongoDB
Features and advantages of MongoDB
Document-oriented data model
Collections and documents
Storage format (BSON)
Query execution and indexing
Introduction to Mocha testing framework
Unit testing MongoDB applications
Sharding in MongoDB
Replication in MongoDB
Aggregation framework
Steps to install MongoDB on macOS
Steps to install MongoDB on Windows
Create operation (inserting data)
Read operation (retrieving data)
Introduction to ObjectID
BSON data type
Authentication in MongoDB
Authorization in MongoDB
Auditing in MongoDB
CRUD operations (Create, Read, Update, Delete)
UpdateOne operation
DeleteOne operation
UpdateMany operation
DeleteMany operation
Common issues during update operations
Troubleshooting and resolving update-related problems
Retrieving additional data using queries
Optimizing query performance
Reducing data transfer
Document structure and nesting
Embedded documents
Working with arrays in documents
Schema definition in MongoDB
Benefits of using schemas
Modeling data for efficient storage and retrieval
Introduction to relationships in MongoDB
Modeling one-to-one relationships with IDs
Modeling one-to-many relationships
Modeling many-to-many relationships
Introduction to Mongoose library
Integration of Mocha and MongoDB with Mongoose
Setting up project structure
Installing required dependencies
Defining a schema for the "Student" collection
Establishing a connection to MongoDB with Mongoose
Introduction to BlueBird and Q promise libraries
Understanding Mocha hooks
Structure and usage of describe and it blocks in Mocha
Writing a test case to create a document in MongoDB
Preparing test data with beforeEach hook
Writing a test case to retrieve data from MongoDB
Writing a test case to delete a document in MongoDB
Writing a test case to update a
Instructors
Skoliko Faculty
₹2500.00
- 34 Modules
- 12 Hours
- Database
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