Indexing:MongoDB supports indexing to improve query performance
You can create single-field indexes, compound indexes, text indexes, and more
Indexes should be chosen carefully based on your query patterns
Aggregation Framework:MongoDB's aggregation framework allows you to perform advanced data processing tasks
You can use stages like $match, $group, $project, and $sort to aggregate and transform data in various ways
Geospatial Data:MongoDB provides geospatial indexing and queries, making it suitable for location-based applications
You can store and query geospatial data like points, polygons, and lines
Text Search:MongoDB has a full-text search feature that allows you to perform text-based searches on string fields
You can create text indexes and use the $text operator in your queries
Data Modeling:Designing your data model in MongoDB is crucial for application performance
Consider factors like embedding vs
referencing documents, schema design, and denormalization




Transactions:MongoDB now supports multi-document transactions, allowing you to perform multiple operations in a single transaction, ensuring data consistency
Replication and Sharding:To ensure high availability and scalability, MongoDB supports replication (for redundancy) and sharding (for horizontal scaling)
These features are essential for production settings
Security:Implement proper security measures by setting up authentication, authorization, and encryption
MongoDB offers role-based access control and various authentication mechanisms

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📌 Mongodb Basics Part I Kolkata
🏢 DexLab Analytics
📍 Kolkata