mongodb

What problem does it solve?

Working with NoSQL databases like MongoDB involves understanding diverse concepts from data modeling to distributed systems, which can be challenging for developers. This skill provides a comprehensive guide to effectively design, implement, optimize, and secure MongoDB solutions, from basic operations to advanced scaling and integration.

Core Features & Use Cases

• Core Database Operations: Perform CRUD operations, leverage 100+ query operators, and build powerful aggregation pipelines for complex data transformation and analysis.
• Indexing & Performance Optimization: Create various index types (single, compound, text, geospatial, TTL) and use explain() to analyze and optimize query performance.
• Data Modeling & Schema Validation: Apply relationship patterns (embedded, referenced), advanced patterns (time series, computed), and enforce data integrity with schema validation.
• High Availability & Scaling: Configure replica sets for fault tolerance, implement sharding for horizontal scaling, and manage write concerns and read preferences for distributed systems.
• Security & Deployment: Secure your database with authentication, Role-Based Access Control (RBAC), and encryption, and deploy across MongoDB Atlas, self-managed environments, or Kubernetes.
• Use Case: Design a scalable e-commerce product catalog with embedded attributes, implement real-time analytics using aggregation pipelines, and ensure high availability with a sharded replica set.

Quick Start

Use the mongodb skill to find all documents in the 'users' collection where the 'status' field is 'active'.