M320: Chapter 4: Patterns Part 2
The computed pattern is used when you need to perform the same computations many times. Instead of recalculating values on every read, pre-compute and store ...
Latest Articles
MongoDB Aggregation Framework: Complete Introduction
The MongoDB Aggregation Framework is a declarative data processing pipeline. Documents enter the pipeline from a collection, pass through one or more stages ...
MongoDB Data Modeling: Complete Guide & Best Practices
Data modeling is the most impactful design decision you make in MongoDB. Get it right and your application scales effortlessly, queries fly, and hardware sta...
MongoDB Data Modeling: Design Patterns (Attribute, Extended Reference, Subset, Computed)
MongoDB's document model is flexible, but flexibility without structure leads to poorly performing databases. Schema design patterns solve recurring data mod...
MongoDB Data Modeling: Relationships (One-to-One, One-to-Many, Many-to-Many)
Relational databases normalize data across tables and use joins at query time to reconstruct relationships. MongoDB, as a document database, embeds related d...
MongoDB for JavaScript Developers: Read Concerns, Bulk Operations & $lookup
Building production MongoDB applications requires more than basic CRUD. You need to understand how consistent your reads are, how to join related collections...
MongoDB for JavaScript Developers: Setup, URI, and Atlas
Getting started with MongoDB for JavaScript developers — connecting to Atlas, understanding the MongoDB URI format, and setting up a Node/Express/MongoDB project.
MongoDB Index Operations: Building, Benchmarking & Optimization
MongoDB relies on indexes to serve queries efficiently. Without an index, MongoDB must scan every document in a collection (a collection scan) to find matchi...
MongoDB Performance: Hardware, Indexes, and WiredTiger Storage Engine
MongoDB performance depends on three main factors: hardware configuration, index design, and query patterns. Understanding how MongoDB uses RAM, CPU, and sto...
MongoDB Resiliency: Connection Pooling, Error Handling, and Robust Configuration
Build resilient MongoDB applications — connection pooling, write concerns, error handling, timeouts, and the principle of least privilege.