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Home » Courses » MongoDb – The NoSQL Powerhouse for Scalable Databases

MongoDb – The NoSQL Powerhouse for Scalable Databases

  • By GAUTAM SAINI
  • Database Design & Development
  • (0 Rating)
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    • Are you ready to master MongoDB, one of the most powerful NoSQL databases used in modern applications? This comprehensive MongoDB course will take you from the basics to advanced topics, equipping you with the skills to build and manage databases efficiently.

      What You’ll Learn

      • Understanding NoSQL & MongoDB

      • CRUD Operations & Data Management

      • Schema Design & Data Modeling

      • Indexing & Performance Optimization

      • Aggregation Framework & Advanced Queries

      • Schema Validation & Constraints

      • Cursor Methods & Query Optimization

      Course Highlights

      • Comprehensive MongoDB Training – Covers basic to advanced topics

      • 100+ Lectures & Labs – Includes practical, hands-on exercises

      • Best Practices & Real-World Scenarios – Get ready for production-level MongoDB

      • Self-Paced Learning – Learn at your own speed with lifetime access

      • Expert Instructor Support – Ask questions and get help anytime!

      Real-World Applications & Best Practices

      Show More
      What Will You Learn?
      • By the end of this course, you will:
      • Understand how MongoDB differs from SQL databases
      • Perform CRUD operations with real-world use cases
      • Master Indexing & Aggregation Framework
      • Optimize database performance for high-speed queries
      • Work with Schema Validation, Relationships, & Data Modeling
      • Learn MongoDB Atlas, Compass, & Shell for cloud & local database management

      Material Includes

      • Comprehensive MongoDB Training – Covers basic to advanced topics
      • 100+ Lectures & Labs – Includes practical, hands-on exercises
      • Best Practices & Real-World Scenarios – Get ready for production-level
      • Self-Paced Learning – Learn at your own speed.

      Audience

      • This course is suitable for both beginners and professionals currently working with MongoDB, helping newcomers build a strong foundation while enabling experienced users to deepen their knowledge and gain additional insights into the database.

      Course Content

      Introduction to NoSQL databases
      MongoDB: The NoSQL Powerhouse for Scalable Databases MongoDB is a NoSQL database that stores data in a document-oriented format using JSON-like BSON (Binary JSON) documents. It is designed for high performance, scalability, and flexibility, making it a popular choice for modern web applications, big data, and cloud-based solutions.

      • MongoDb -Lec -1: Introduction Nosql and SQL databases
        00:00
      • MongoDb -Lec -2: NoSql databases
        00:00
      • MongoDb -Lec -3: MongoDb and its need
        00:00
      • MongoDb -Lec -4: Features and benefits
        00:00
      • MongoDb -Lec -5: SQL to MongoDB Mapping
        00:00
      • MongoDb -Lec -6: When to use-notuse MongoDb
        00:00
      • MongoDb -Lec -7: Mongo vs SQL
        00:00
      • MongoDb -Lec -8: Case Sensitivity
        00:00
      • Introduction and Basics of MongoDb

      MongoDb Atlas

      • MongoDb -Lec -9: MongoDb Atlas
        00:00
      • MongoDb -Lec -10: Create Account at Atlas
        00:00
      • Atlas Quiz

      MongoDB installation

      • MongoDb -Lec -11 Install MongoDb Compass
        00:00
      • MongoDb -Lec -12: Install Mongo Shell
        00:00

      CRUD operations

      • MongoDb -Lec -13: What are CRUD operations
        00:00
      • MongoDb -Lec -14: Understanding databases, collections and documents
        00:00
      • MongoDb -Lec -15: Create Database
        00:00
      • MongoDb -Lec -16: Create Database -LAB
        00:00
      • MongoDb -Lec -17: Create Collection
        00:00
      • MongoDb -Lec -18: Create Collection – LAB
        00:00
      • MongoDb -Lec -19 Insert command
        00:00
      • MongoDb -Lec -20 Atomicity
        00:00
      • MongoDb -Lec -21 InsertOne – LAB
        00:00
      • MongoDb -Lec -22 InsertMany documents -LAB
        00:00
      • MongoDb -Lec -23 Find command and its options
        00:00
      • MongoDb -Lec -24 findOne, findMany
        00:00
      • MongoDb -Lec -25 Find command – LAB
        00:00
      • MongoDb -Lec -26: Update command
        00:00
      • MongoDb -Lec -27: UpdateOne – LAB
        00:00
      • MongoDb -Lec -28: UpdateMany – LAB
        00:00
      • MongoDb -Lec -29: replaceOne command
        00:00
      • MongoDb -Lec -30: upsert command
        00:00
      • MongoDb -Lec -31 What is Delete, drop
        00:00
      • MongoDb -Lec -32 Delete, drop – LAB
        00:00
      • MongoDb -Lec -33 Drop Database – LAB
        00:00
      • CRUD Operations

      Data Modelling and Schemas

      • MongoDb -Lec -34: Data Modeling, SCHEMAS AND RELATIONS
        00:00
      • MongoDb -Lec -35: Schema-Less Storage
        00:00
      • MongoDb -Lec -36: Structured Approach
        00:00
      • MongoDb -Lec -37: Structured vs Schema less – LAB
        00:00
      • MongoDb -Lec -38: Approaches for Data Modeling
        00:00

      Relations

      • MongoDb -Lec -39: Relations and their need
        00:00
      • MongoDb -Lec -40: Types of Relationship
        00:00
      • MongoDb -Lec -41: One-to-One Relationship
        00:00
      • MongoDb -Lec -42: One-to-Many Relationship
        00:00
      • MongoDb -Lec -43: Many-to-Many Relationship
        00:00
      • MongoDb -Lec -44: How to query for relationships
        00:00
      • MongoDb -Lec -45: Embedding vs. Referencing
        00:00
      • Relations and types

      Data Types

      • MongoDb -Lec -46: Data types
        00:00
      • MongoDb -Lec -47: Document using multiple data types
        00:00
      • MongoDb -Lec -48: DB stats
        00:00
      • Data Types

      Schema Validation

      • MongoDb -Lec -49: What is Schema Validation
        00:00
      • MongoDb -Lec -50: Validation rules
        00:00
      • MongoDb -Lec -51: How we apply schema validation
        00:00
      • MongoDb -Lec -52: LAB – Schema Validation
        00:00
      • MongoDb -Lec -53: Update schema validation for Existing collection with LAB
        00:00
      • MongoDb -Lec -54: Constraint Types and description
        00:00
      • Schema Validation
      • MongoDb -Lec -55: Validation levels
        00:00
      • MongoDb -Lec -56: Validation levels – LAB
        00:00
      • MongoDb -Lec -57: Summary Validation Schema
        00:00
      • Validation Level

      Operators

      • MongoDb -Lec -58: Operators in MongoDB
        00:00
      • MongoDb -Lec -59: Need of Operators
        00:00
      • MongoDb -Lec -60: Update Operators
        00:00
      • Operators

      Relational Operators

      • MongoDb -Lec -61: Relational Operators
        00:00
      • MongoDb -Lec -62: Queries using relational operators
        00:00
      • MongoDb -Lec -63: Relational Operators – LAB
        00:00
      • Relational Operators

      Comparision Operators

      • MongoDb -Lec -64: Comparision Query Operators – $in
        00:00
      • MongoDb -Lec -65: Comparision Query Operators – $nin
        00:00
      • MongoDb -Lec -66: Comparision Query Operators – LAB $in and $nin
        00:00
      • Comparition operators in() and nin()

      Logical Operators

      • MongoDb -Lec -67: Logical Query Operators
        00:00
      • MongoDb -Lec -68: Logical Query Operators – LAB
        00:00
      • MongoDb -Lec -69: Difference b/w relational and aggregation operators
        00:00
      • Logical Operators

      Aggregation operators

      • MongoDb -Lec -70: Aggregation Framework
        00:00
      • MongoDb -Lec -71: Aggregation Pipeline
        00:00
      • MongoDb -Lec -72: Aggregation Pipeline – LAB
        00:00
      • MongoDb -Lec -73: eq(aggregation)
        00:00
      • MongoDb -Lec -74: gt(aggregation)
        00:00
      • MongoDb -Lec -75: gte(aggregation)
        00:00
      • MongoDb -Lec -76: in(aggregation)
        00:00
      • MongoDb -Lec -77: ne(aggregation)
        00:00
      • MongoDb -Lec -78: not(aggregation)
        00:00
      • MongoDb -Lec -79: or(aggregation) & Sql to aggregation mapping
        00:00
      • MongoDb -Lec -80: Aggregation Operators – LAB
        00:00
      • Aggregation Pipeline

      Conditional operators

      • MongoDb -Lec -81: Conditional Operators
        00:00
      • MongoDb -Lec -82: $cond (If-Then-Else)
        00:00
      • MongoDb -Lec -83: $ifNull (Handle Null Values)
        00:00
      • MongoDb -Lec -84: $switch (Multiple Conditions Like Switch-Case)
        00:00
      • Conditional Operators

      Cursor Methods

      • MongoDb -Lec -85: Cursor methods
        00:00
      • MongoDb -Lec -86: Common cursor methods in MongoDb
        00:00
      • MongoDb -Lec -87: count(), sort(), limit(), skip() cursor method
        00:00
      • MongoDb -Lec -88: Cursor methods – LAB
        00:00

      Indexes and COLLSCAN

      • MongoDb -Lec -89: Introduction to the module
        00:00
      • MongoDb -Lec -90: What are Indexes
        00:00
      • MongoDb -Lec -91: Uses of Indexes
        00:00
      • MongoDb -Lec -92: COLLSCAN
        00:00
      • MongoDb -Lec -93: Why is COLLSCAN Bad?
        00:00
      • MongoDb -Lec -94: How to Fix COLLSCAN
        00:00
      • MongoDb -Lec -95: Summary – COLLSCAN
        00:00
      • MongoDb -Lec -96: CreateIndex – LAB
        00:00
      • MongoDb -Lec -97: View Existing Indexes
        00:00
      • Indexes

      Types of Indexes

      • MongoDb -Lec -98: Type of Indexes
        00:00
      • MongoDb -Lec -99: Single Field Index with LAB
        00:00
      • MongoDb -Lec -100: Compound Index with LAB
        00:00
      • MongoDb -Lec -101: Multikey Index with LAB
        00:00
      • MongoDb -Lec -102: Text Index with LAB
        00:00
      • MongoDb -Lec -103: Geospatial Index
        00:00
      • MongoDb -Lec -104: Hashed Index
        00:00
      • MongoDb -Lec -105: Wildcard Index
        00:00
      • MongoDb -Lec -106: How to Remove an Index
        00:00
      • MongoDb -Lec -107: Index Performance Optimization
        00:00
      • MongoDb -Lec -108: Summary- Indexes
        00:00
      • Type of Indexes

      Authentication and Authorization

      • MongoDb -Lec -109: Access control and Security
        00:00
      • MongoDb -Lec -110: What is Authentication
        00:00
      • MongoDb -Lec -111: Types of Authentications in MongoDB
        00:00
      • MongoDb -Lec -112: Enabling Authentication in MongoDB
        00:00
      • MongoDb -Lec -113: Authorization
        00:00
      • MongoDb -Lec -114: Authentication vs. Authorization in MongoDB
        00:00
      • MongoDb -Lec -115: Importance and Use
        00:00

      Role-Based Access Control (RBAC) in MongoDB

      • MongoDb -Lec -116: Some useful terms
        00:00
      • MongoDb -Lec -117: Role-Based Access Control
        00:00
      • MongoDb -Lec -118: Predefined Roles in MongoDB
        00:00

      Creating & Managing Users with RBAC

      • MongoDb -Lec -119: Creating Role based users
        00:00
      • MongoDb -Lec -120: Update and Drop users
        00:00
      • MongoDb -Lec -121: Managing users – LAB
        00:00
      • MongoDb -Lec -122: Summary
        00:00

      Encryption

      • MongoDb -Lec -123: Encryption and its types
        00:00
      • MongoDb -Lec -124: In- use Encryption
        00:00
      • MongoDb -Lec -125: Encryption at Rest
        00:00
      • MongoDb -Lec -126: Transport Layer Encryption
        00:00
      • Encryption

      Replica Sets and its components

      • MongoDb -Lec -127: What is Replica Sets
        00:00
      • MongoDb -Lec -128: Primary Node
        00:00
      • MongoDb -Lec -129: Secondary Node
        00:00
      • MongoDb -Lec -130: Heartbeat and Arbiter
        00:00
      • MongoDb -Lec -131: Need of Arbiter
        00:00
      • MongoDb -Lec -132: Data transfer in Replica Set nodes
        00:00
      • MongoDb -Lec -133: The Oplog
        00:00
      • MongoDb -Lec -134: Features of Replica Sets
        00:00
      • MongoDb -Lec -135: Read, Write and Failover in Replica Sets
        00:00
      • MongoDb -Lec -136: Summary
        00:00
      • Replica sets

      Sharding

      • MongoDb -Lec -137: Sharding and its need
        00:00
      • MongoDb -Lec -138: How Sharding Works
        00:00
      • MongoDb -Lec -139: Key Advantages of Sharding
        00:00
      • MongoDb -Lec -140: Shard Key Selection: Best Practices & Strategies
        00:00
      • MongoDb -Lec -141: How MongoDB Distributes Queries in a Sharded Environment
        00:00
      • MongoDb -Lec -142: Sharding vs. Replication: Key Differences & Use Cases
        00:00
      • MongoDb -Lec -143: Wrapping Up: Essential Insights on Sharding
        00:00
      • Sharding

      Course WrapUP

      • MongoDb -Lec -144: Wrap up
        00:00

      Tags

      • Data Analytics
      • Data Backup and Recovery
      • Database
      • Database administration
      • DBA
      • MongoDb

      A course by

      GS
      GAUTAM SAINI
      Database Administrator

      Student Ratings & Reviews

      No Review Yet
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      Course Includes:

      • Price:
        ₹499.00 ₹850.00
      • Instructor:GAUTAM SAINI
      • Duration: 10 hours 16 minutes
      • Lessons:144
      • Students:0
      • Level:All Levels
      ₹499.00 ₹850.00
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