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.
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MongoDb -Lec -1: Introduction Nosql and SQL databases
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MongoDb -Lec -2: NoSql databases
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MongoDb -Lec -3: MongoDb and its need
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MongoDb -Lec -4: Features and benefits
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MongoDb -Lec -5: SQL to MongoDB Mapping
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MongoDb -Lec -6: When to use-notuse MongoDb
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MongoDb -Lec -7: Mongo vs SQL
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MongoDb -Lec -8: Case Sensitivity
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Introduction and Basics of MongoDb
MongoDb Atlas
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MongoDb -Lec -9: MongoDb Atlas
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MongoDb -Lec -10: Create Account at Atlas
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Atlas Quiz
MongoDB installation
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MongoDb -Lec -11 Install MongoDb Compass
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MongoDb -Lec -12: Install Mongo Shell
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CRUD operations
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MongoDb -Lec -13: What are CRUD operations
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MongoDb -Lec -14: Understanding databases, collections and documents
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MongoDb -Lec -15: Create Database
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MongoDb -Lec -16: Create Database -LAB
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MongoDb -Lec -17: Create Collection
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MongoDb -Lec -18: Create Collection – LAB
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MongoDb -Lec -19 Insert command
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MongoDb -Lec -20 Atomicity
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MongoDb -Lec -21 InsertOne – LAB
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MongoDb -Lec -22 InsertMany documents -LAB
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MongoDb -Lec -23 Find command and its options
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MongoDb -Lec -24 findOne, findMany
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MongoDb -Lec -25 Find command – LAB
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MongoDb -Lec -26: Update command
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MongoDb -Lec -27: UpdateOne – LAB
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MongoDb -Lec -28: UpdateMany – LAB
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MongoDb -Lec -29: replaceOne command
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MongoDb -Lec -30: upsert command
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MongoDb -Lec -31 What is Delete, drop
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MongoDb -Lec -32 Delete, drop – LAB
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MongoDb -Lec -33 Drop Database – LAB
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CRUD Operations
Data Modelling and Schemas
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MongoDb -Lec -34: Data Modeling, SCHEMAS AND RELATIONS
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MongoDb -Lec -35: Schema-Less Storage
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MongoDb -Lec -36: Structured Approach
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MongoDb -Lec -37: Structured vs Schema less – LAB
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MongoDb -Lec -38: Approaches for Data Modeling
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Relations
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MongoDb -Lec -39: Relations and their need
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MongoDb -Lec -40: Types of Relationship
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MongoDb -Lec -41: One-to-One Relationship
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MongoDb -Lec -42: One-to-Many Relationship
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MongoDb -Lec -43: Many-to-Many Relationship
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MongoDb -Lec -44: How to query for relationships
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MongoDb -Lec -45: Embedding vs. Referencing
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Relations and types
Data Types
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MongoDb -Lec -46: Data types
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MongoDb -Lec -47: Document using multiple data types
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MongoDb -Lec -48: DB stats
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Data Types
Schema Validation
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MongoDb -Lec -49: What is Schema Validation
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MongoDb -Lec -50: Validation rules
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MongoDb -Lec -51: How we apply schema validation
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MongoDb -Lec -52: LAB – Schema Validation
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MongoDb -Lec -53: Update schema validation for Existing collection with LAB
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MongoDb -Lec -54: Constraint Types and description
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Schema Validation
MongoDb -Lec -55: Validation levels
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MongoDb -Lec -56: Validation levels – LAB
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MongoDb -Lec -57: Summary Validation Schema
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Validation Level
Operators
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MongoDb -Lec -58: Operators in MongoDB
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MongoDb -Lec -59: Need of Operators
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MongoDb -Lec -60: Update Operators
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Operators
Relational Operators
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MongoDb -Lec -61: Relational Operators
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MongoDb -Lec -62: Queries using relational operators
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MongoDb -Lec -63: Relational Operators – LAB
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Relational Operators
Comparision Operators
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MongoDb -Lec -64: Comparision Query Operators – $in
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MongoDb -Lec -65: Comparision Query Operators – $nin
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MongoDb -Lec -66: Comparision Query Operators – LAB $in and $nin
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Comparition operators in() and nin()
Logical Operators
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MongoDb -Lec -67: Logical Query Operators
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MongoDb -Lec -68: Logical Query Operators – LAB
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MongoDb -Lec -69: Difference b/w relational and aggregation operators
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Logical Operators
Aggregation operators
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MongoDb -Lec -70: Aggregation Framework
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MongoDb -Lec -71: Aggregation Pipeline
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MongoDb -Lec -72: Aggregation Pipeline – LAB
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MongoDb -Lec -73: eq(aggregation)
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MongoDb -Lec -74: gt(aggregation)
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MongoDb -Lec -75: gte(aggregation)
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MongoDb -Lec -76: in(aggregation)
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MongoDb -Lec -77: ne(aggregation)
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MongoDb -Lec -78: not(aggregation)
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MongoDb -Lec -79: or(aggregation) & Sql to aggregation mapping
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MongoDb -Lec -80: Aggregation Operators – LAB
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Aggregation Pipeline
Conditional operators
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MongoDb -Lec -81: Conditional Operators
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MongoDb -Lec -82: $cond (If-Then-Else)
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MongoDb -Lec -83: $ifNull (Handle Null Values)
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MongoDb -Lec -84: $switch (Multiple Conditions Like Switch-Case)
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Conditional Operators
Cursor Methods
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MongoDb -Lec -85: Cursor methods
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MongoDb -Lec -86: Common cursor methods in MongoDb
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MongoDb -Lec -87: count(), sort(), limit(), skip() cursor method
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MongoDb -Lec -88: Cursor methods – LAB
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Indexes and COLLSCAN
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MongoDb -Lec -89: Introduction to the module
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MongoDb -Lec -90: What are Indexes
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MongoDb -Lec -91: Uses of Indexes
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MongoDb -Lec -92: COLLSCAN
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MongoDb -Lec -93: Why is COLLSCAN Bad?
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MongoDb -Lec -94: How to Fix COLLSCAN
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MongoDb -Lec -95: Summary – COLLSCAN
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MongoDb -Lec -96: CreateIndex – LAB
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MongoDb -Lec -97: View Existing Indexes
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Indexes
Types of Indexes
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MongoDb -Lec -98: Type of Indexes
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MongoDb -Lec -99: Single Field Index with LAB
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MongoDb -Lec -100: Compound Index with LAB
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MongoDb -Lec -101: Multikey Index with LAB
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MongoDb -Lec -102: Text Index with LAB
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MongoDb -Lec -103: Geospatial Index
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MongoDb -Lec -104: Hashed Index
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MongoDb -Lec -105: Wildcard Index
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MongoDb -Lec -106: How to Remove an Index
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MongoDb -Lec -107: Index Performance Optimization
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MongoDb -Lec -108: Summary- Indexes
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Type of Indexes
Authentication and Authorization
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MongoDb -Lec -109: Access control and Security
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MongoDb -Lec -110: What is Authentication
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MongoDb -Lec -111: Types of Authentications in MongoDB
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MongoDb -Lec -112: Enabling Authentication in MongoDB
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MongoDb -Lec -113: Authorization
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MongoDb -Lec -114: Authentication vs. Authorization in MongoDB
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MongoDb -Lec -115: Importance and Use
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Role-Based Access Control (RBAC) in MongoDB
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MongoDb -Lec -116: Some useful terms
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MongoDb -Lec -117: Role-Based Access Control
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MongoDb -Lec -118: Predefined Roles in MongoDB
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Creating & Managing Users with RBAC
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MongoDb -Lec -119: Creating Role based users
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MongoDb -Lec -120: Update and Drop users
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MongoDb -Lec -121: Managing users – LAB
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MongoDb -Lec -122: Summary
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Encryption
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MongoDb -Lec -123: Encryption and its types
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MongoDb -Lec -124: In- use Encryption
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MongoDb -Lec -125: Encryption at Rest
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MongoDb -Lec -126: Transport Layer Encryption
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Encryption
Replica Sets and its components
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MongoDb -Lec -127: What is Replica Sets
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MongoDb -Lec -128: Primary Node
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MongoDb -Lec -129: Secondary Node
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MongoDb -Lec -130: Heartbeat and Arbiter
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MongoDb -Lec -131: Need of Arbiter
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MongoDb -Lec -132: Data transfer in Replica Set nodes
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MongoDb -Lec -133: The Oplog
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MongoDb -Lec -134: Features of Replica Sets
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MongoDb -Lec -135: Read, Write and Failover in Replica Sets
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MongoDb -Lec -136: Summary
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Replica sets
Sharding
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MongoDb -Lec -137: Sharding and its need
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MongoDb -Lec -138: How Sharding Works
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MongoDb -Lec -139: Key Advantages of Sharding
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MongoDb -Lec -140: Shard Key Selection: Best Practices & Strategies
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MongoDb -Lec -141: How MongoDB Distributes Queries in a Sharded Environment
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MongoDb -Lec -142: Sharding vs. Replication: Key Differences & Use Cases
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MongoDb -Lec -143: Wrapping Up: Essential Insights on Sharding
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Sharding
Course WrapUP
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MongoDb -Lec -144: Wrap up
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MongoDb – The NoSQL Powerhouse for Scalable Databases
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