MongoDB is a powerful NoSQL database that scales with your application. Master MongoDB from fundamentals to advanced topics including aggregation pipelines, indexing strategies, and sharding for distributed systems.
MongoDB Fundamentals
đDocuments & Collections
MongoDB stores data in flexible JSON-like documents. Collections are groups of documents, similar to tables in SQL.
đQuerying Data
Powerful query language with support for complex queries, filtering, sorting, and pagination.
đRelationships
Model relationships using embedded documents or references. Choose based on your access patterns.
- âĸ Embedding for one-to-few
- âĸ References for one-to-many
âĄIndexing
Create indexes to dramatically improve query performance. Essential for production applications.
- âĸ Single field indexes
- âĸ Compound indexes
Advanced Topics
đAggregation Pipeline
Process data through a pipeline of stages to perform complex transformations and analysis.
đSharding & Replication
Scale horizontally with sharding and ensure high availability with replica sets. Essential for large-scale applications.
âī¸Performance Optimization
Use explain() to analyze queries, create appropriate indexes, and monitor with MongoDB Atlas or Ops Manager.
Master MongoDB
MongoDB's flexibility and scalability make it ideal for modern applications. Master these concepts to build robust, high-performance database solutions that scale with your needs!