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Mongodb Roadmap

Join the 100 day Mongodb coding challenge. Master Mongodb with daily challenges, projects, and expert guidance.
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Day 1: MongoDB Installation
Day 2: Create database
Day 3: Create collection
Day 4: Insert document
Day 5: Retrieve all documents
Day 6: Filter documents using find
Day 7: Update document
Day 8: Delete document
Day 9: Index creation
Day 10: Drop collection
Day 11: $match aggregation
Day 12: _id field in documents
Day 13: Sort documents
Day 14: Limit the number of results
Day 15: Count the number of documents
Day 16: Backup database
Day 17: Restore database
Day 18: Start and stop server
Day 19: Replica set with multiple nodes
Day 20: Authentication
Day 21: User with specific privileges
Day 22: User restrictions
Day 23: Performance monitoring
Day 24: Roles
Day 25: Database management
Day 26: Import from a CSV file
Day 27: Query profiler
Day 28: Sharded cluster
Day 29: Primary and secondary nodes
Day 30: MongoDB Atlas
Day 31: Compound index
Day 32: Aggregation using $group
Day 33: $lookup for data enrichment
Day 34: $unwind in aggregation
Day 35: Text searches
Day 36: MongoDB Transactions
Day 37: Storage engines (WiredTiger and MMAPv1)
Day 38: TTL (Time-To-Live) index
Day 39: Geospatial indexes
Day 40: Write concern
Day 41: Schema migrations
Day 42: MongoDB BI Connector
Day 43: Query performance optimisation
Day 44: Horizontal scaling
Day 45: Data partitioning
Day 46: Aggregation pipeline
Day 47: $out in aggregation
Day 48: $graphLookup
Day 49: Horizontal scaling with zone sharding
Day 50: GridFS for large files
Day 51: Real-time data synchronization
Day 52: Ops Manager
Day 53: Full-text search
Day 54: Data encryption
Day 55: Field-level security using $redact
Day 56: Stitch for application development
Day 57: Schema design for complex relationships
Day 58: Document validation
Day 59: Aggregation Framework $merge
Day 60: Database-level auditing
Day 61: MongoDB Kafka Connector
Day 62: Explain Plan
Day 63: Pluggable storage engines
Day 64: Fine-grained access control
Day 65: Data migration
Day 66: Data partitioning strategies
Day 67: $lookup with pipelines
Day 68: Multi-document transactions
Day 69: Schema evolution and versioning
Day 70: Serverless applications
Day 71: Disaster recovery strategy
Day 72: Rust driver for application development
Day 73: Multi-language support for full-text search
Day 74: $bucket data aggregation
Day 75: Handle scaling
Day 76: Change Streams
Day 77: Kubernetes
Day 78: Time-series data storage
Day 79: Fine-grained access control
Day 80: Monitor MongoDB using MongoDB Atlas
Day 81: Data synchronization between clusters
Day 82: Change Streams API
Day 83: Advanced index optimization
Day 84: Serverless functions
Day 85: Global clusters
Day 86: Data encryption key management
Day 87: $facet for complex aggregations
Day 88: Authentication and SSL
Day 89: Geographic redundancy
Day 90: $merge for incremental data loading
Day 91: Optimize with Auto-Scaling
Day 92: Schema validation
Day 93: Complex data migration
Day 94: Covered queries
Day 95: Data visualization and reporting
Day 96: Data masking and redaction
Day 97: Real-time analytics dashboard
Day 98: Custom authentication
Day 99: Data compression
Day 100: Advanced query optimization

Join the 100 day Mongodb coding challenge. Master Mongodb with daily challenges, projects, and expert guidance.
Start coding today!

Day 1 - MongoDB Installation

Install MongoDB on your local machine
Installation & Basic Operations

Day 2 - Create database

Create a new MongoDB database
Database & Collection Management

Day 3 - Create collection

Create a collection in your database
Database & Collection Management

Day 4 - Insert document

Insert a document into your collection
Data Manipulation & Querying

Day 5 - Retrieve all documents

Retrieve all documents from your collection
Data Manipulation & Querying

Day 6 - Filter documents using find

Filter documents in your collection using the find method
Data Manipulation & Querying

Day 7 - Update document

Update a document in your collection
Data Manipulation & Querying

Day 8 - Delete document

Delete a document from your collection
Data Manipulation & Querying

Day 9 - Index creation

Create an index on a field in your collection
Indexing & Performance

Day 10 - Drop collection

Drop a collection in your database
Database & Collection Management

Day 11 - $match aggregation

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Advanced Querying & Aggregation

Day 12 - _id field in documents

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Data Manipulation & Querying

Day 13 - Sort documents

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Data Manipulation & Querying

Day 14 - Limit the number of results

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Advanced Querying & Aggregation

Day 15 - Count the number of documents

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Advanced Querying & Aggregation

Day 16 - Backup database

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Monitoring & Backup

Day 17 - Restore database

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Monitoring & Backup

Day 18 - Start and stop server

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Database & Collection Management

Day 19 - Replica set with multiple nodes

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Replication & Authentication

Day 20 - Authentication

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Replication & Authentication

Day 21 - User with specific privileges

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Security & Compliance

Day 22 - User restrictions

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Security & Compliance

Day 23 - Performance monitoring

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Monitoring & Backup

Day 24 - Roles

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Security & Compliance

Day 25 - Database management

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Database & Collection Management

Day 26 - Import from a CSV file

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Data Import & Export

Day 27 - Query profiler

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Monitoring & Optimization

Day 28 - Sharded cluster

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Clustering & Scaling

Day 29 - Primary and secondary nodes

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Replication & Authentication

Day 30 - MongoDB Atlas

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Installation & Basic Operations

Day 31 - Compound index

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Advanced Querying & Aggregation

Day 32 - Aggregation using $group

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Advanced Querying & Aggregation

Day 33 - $lookup for data enrichment

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Advanced Querying & Aggregation

Day 34 - $unwind in aggregation

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Advanced Querying & Aggregation

Day 35 - Text searches

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Advanced Querying & Aggregation

Day 36 - MongoDB Transactions

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Transactions & Schema Evolution

Day 37 - Storage engines (WiredTiger and MMAPv1)

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Storage Engines & Security

Day 38 - TTL (Time-To-Live) index

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Indexing & Performance

Day 39 - Geospatial indexes

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Advanced Querying & Aggregation

Day 40 - Write concern

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Indexing & Performance

Day 41 - Schema migrations

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Database & Collection Management

Day 42 - MongoDB BI Connector

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Advanced Tools & Integrations

Day 43 - Query performance optimisation

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Monitoring & Optimization

Day 44 - Horizontal scaling

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Clustering & Scaling

Day 45 - Data partitioning

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Clustering & Scaling

Day 46 - Aggregation pipeline

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Advanced Querying & Aggregation

Day 47 - $out in aggregation

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Advanced Querying & Aggregation

Day 48 - $graphLookup

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Advanced Querying & Aggregation

Day 49 - Horizontal scaling with zone sharding

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Advanced Sharding & Partitioning

Day 50 - GridFS for large files

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Database & Collection Management

Day 51 - Real-time data synchronization

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Replication & Authentication

Day 52 - Ops Manager

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Monitoring & Optimization

Day 53 - Full-text search

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Advanced Querying & Aggregation

Day 54 - Data encryption

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Security & Compliance

Day 55 - Field-level security using $redact

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Security & Compliance

Day 56 - Stitch for application development

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Advanced Tools & Integrations

Day 57 - Schema design for complex relationships

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Data Modeling & Schema Design

Day 58 - Document validation

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Data Modeling & Schema Design

Day 59 - Aggregation Framework $merge

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Advanced Querying & Aggregation

Day 60 - Database-level auditing

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Security & Compliance

Day 61 - MongoDB Kafka Connector

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Advanced Sharding & Partitioning

Day 62 - Explain Plan

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Data Modeling & Schema Design

Day 63 - Pluggable storage engines

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Storage Engines & Security

Day 64 - Fine-grained access control

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Security & Compliance

Day 65 - Data migration

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Data Migration & Integration

Day 66 - Data partitioning strategies

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Data Partitioning & Global Distribution

Day 67 - $lookup with pipelines

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Advanced Querying & Aggregation

Day 68 - Multi-document transactions

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Transactions & Schema Evolution

Day 69 - Schema evolution and versioning

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Transactions & Schema Evolution

Day 70 - Serverless applications

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Serverless & Advanced Development

Day 71 - Disaster recovery strategy

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High Availability & Disaster Recovery

Day 72 - Rust driver for application development

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MongoDB Rust Driver

Day 73 - Multi-language support for full-text search

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Advanced Querying & Aggregation

Day 74 - $bucket data aggregation

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Advanced Querying & Aggregation

Day 75 - Handle scaling

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Clustering & Scaling

Day 76 - Change Streams

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Real-Time Data Integration

Day 77 - Kubernetes

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Advanced Tools & Integrations

Day 78 - Time-series data storage

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Time-Series Data Storage

Day 79 - Fine-grained access control

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Security & Compliance

Day 80 - Monitor MongoDB using MongoDB Atlas

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Monitoring & Configuration

Day 81 - Data synchronization between clusters

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Data Synchronization

Day 82 - Change Streams API

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Real-Time Data Integration

Day 83 - Advanced index optimization

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Monitoring & Optimization

Day 84 - Serverless functions

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Serverless Function

Day 85 - Global clusters

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Data Partitioning & Global Distribution

Day 86 - Data encryption key management

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Security & Compliance

Day 87 - $facet for complex aggregations

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Advanced Querying & Aggregation

Day 88 - Authentication and SSL

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Security & Compliance

Day 89 - Geographic redundancy

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Data Partitioning & Global Distribution

Day 90 - $merge for incremental data loading

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Advanced Querying & Aggregation

Day 91 - Optimize with Auto-Scaling

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Clustering & Scaling

Day 92 - Schema validation

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Transactions & Schema Evolution

Day 93 - Complex data migration

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Data Partitioning & Global Distribution

Day 94 - Covered queries

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Indexing & Performance

Day 95 - Data visualization and reporting

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Monitoring & Configuration

Day 96 - Data masking and redaction

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Security & Compliance

Day 97 - Real-time analytics dashboard

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Monitoring & Configuration

Day 98 - Custom authentication

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Security & Compliance

Day 99 - Data compression

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Storage Efficiency

Day 100 - Advanced query optimization

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Indexing & Performance

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