Mongo DB Mastery Docs
•72 modules•Intermediate

Mongo DB Mastery Course

MongoDB is a source-available cross-platform document-oriented database program. Learn to work with JSON-like documents, perform complex queries, implement aggregation pipelines, and build scalable applications with this flexible NoSQL database.

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Beginner Level

Foundational concepts to get you started withMongo DB

Easy

What is MongoDB 8? Documents and Collections

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Easy

SQL vs NoSQL: When to Use MongoDB

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Easy

Installing MongoDB Community 8

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Easy

MongoDB Atlas: Free Cluster Setup

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Easy

mongosh: The MongoDB Shell

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Easy

Compass and the VS Code Extension

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Easy

BSON Types and Document Structure

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Easy

ObjectId and the _id Field

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Easy

Databases, Collections and Namespaces

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Easy

Inserting Documents

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Easy

Querying with find and Filters

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Easy

Comparison and Logical Query Operators

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Easy

Projections and Field Selection

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Easy

Sorting, Limiting and Skipping

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Easy

Counting Documents and Distinct Values

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Easy

Updating Documents

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Easy

Update Operators and Upserts

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Easy

Deleting Documents

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Easy

Working with Arrays

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Easy

Embedded Documents and Dot Notation

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Easy

Connecting MongoDB to Your First App

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Easy

Beginner Project: A Library Database

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Intermediate Level

Deep dive into core Mongo DB concepts and patterns

Intermediate

Embedding vs Referencing

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Intermediate

Data Modelling Patterns

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Intermediate

Schema Validation with JSON Schema

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Intermediate

Single Field and Compound Indexes

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Intermediate

Multikey, Text and Wildcard Indexes

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Intermediate

Partial, Sparse and TTL Indexes

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Intermediate

Geospatial Indexes and Queries

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Intermediate

explain and Query Plans

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Intermediate

The Cost-Based Ranker

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Intermediate

Aggregation Pipeline Fundamentals

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Intermediate

Core Stages: match, project, group and sort

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Intermediate

Joining Collections with lookup

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Intermediate

unwind and Array Aggregation

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Intermediate

facet, bucket and Multi-Result Pipelines

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Intermediate

Window Functions with setWindowFields

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Intermediate

Array Index Access with IDX and arrayIndexAs

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Intermediate

Conversion Operators: convert, toObject and toArray

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Intermediate

Expression Operators: hash, createObjectId and EJSON

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Intermediate

Bulk Writes and the Bulk API

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Intermediate

Change Streams

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Intermediate

Time Series and Capped Collections

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Intermediate

GridFS for Large Files

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Intermediate

Import, Export and Data Migration Tools

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Advanced Level

Master advanced Mongo DB patterns and modern features

Advance

Transactions and ACID Guarantees

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Advance

Read and Write Concerns

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Advance

Read Preferences and Replica Set Reads

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Advance

Replica Sets and Elections

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Advance

Backups, Snapshots and Point-in-Time Restore

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Sharding: Shard Keys and Chunk Distribution

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Advance

Shard Draining and Cluster Operations

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Advance

Performance Tuning and Working Set Sizing

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Advance

Monitoring with serverStatus and FTDC

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Advance

Query Settings and Index Hints

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Advance

Atlas Search and the search Stage

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Advance

Vector Search for AI Workloads

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Advance

Hybrid Search with rankFusion and scoreFusion

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Advance

Role-Based Access Control and Users

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Advance

TLS, Authentication and Network Security

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Advance

Client-Side Field Level Encryption

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Advance

Queryable Encryption

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Expert Level

High-performance and production-grade Mongo DB expertise

Expert

Node.js Driver and Connection Pooling

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Expert

Mongoose ODM: Schemas, Models and Middleware

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Expert

Migrations and Schema Evolution

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Expert

Aggregation Performance with merge and out

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Expert

Multi-Region and Global Clusters

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Expert

Atlas Data Federation and Online Archive

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Expert

Atlas Stream Processing

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Expert

MongoDB on Kubernetes with the Operator

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Expert

Upgrading to MongoDB 8.3

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Expert

Capacity Planning and Cost Optimisation

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