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Mongodb Roadmap

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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 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

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