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Wiki CatalogSoftware Engineer (Full Stack)Module 3: Database Integration, Data Persistence Layer & Cloud Deployment

Non-Relational (NoSQL) Solutions

Software Engineer (Full Stack)⏱ 33 Hours Estimated~3 min read
Mapped Subtopics & Architecture
  • Document & Key-Value Engines (MongoDB CRUD operations, Redis In-Memory Caching)
  • Distributed Caching Patterns (Cache Aside pattern, Cache Expiration policies, TTL)

Non-Relational (NoSQL) Solutions

Discipline: Software Engineer (Full Stack) | Module: Module 3: Database Integration, Data Persistence Layer & Cloud Deployment | Estimated Study Time: 33 Hours

Welcome to Non-Relational (NoSQL) Solutions. This topic delivers foundational and advanced concepts designed for production engineering and real-world workflows.

Key Learning Objectives

  1. Document & Key-Value Engines (MongoDB CRUD operations, Redis In-Memory Caching)
  2. Distributed Caching Patterns (Cache Aside pattern, Cache Expiration policies, TTL)

Detailed Curriculum Breakdown

Document & Key-Value Engines (MongoDB CRUD operations, Redis In-Memory Caching)

Explore the fundamental principles, real-world patterns, and best practices for Document & Key-Value Engines (MongoDB CRUD operations, Redis In-Memory Caching). Practice hands-on implementations to master these concepts.

// Code Example: Document & Key-Value Engines (MongoDB CRUD operations, Redis In-Memory Caching)
// Implement verified patterns for production use
console.log("Mastering Document & Key-Value Engines (MongoDB CRUD operations, Redis In-Memory Caching)");

Distributed Caching Patterns (Cache Aside pattern, Cache Expiration policies, TTL)

Explore the fundamental principles, real-world patterns, and best practices for Distributed Caching Patterns (Cache Aside pattern, Cache Expiration policies, TTL). Practice hands-on implementations to master these concepts.

// Code Example: Distributed Caching Patterns (Cache Aside pattern, Cache Expiration policies, TTL)
// Implement verified patterns for production use
console.log("Mastering Distributed Caching Patterns (Cache Aside pattern, Cache Expiration policies, TTL)");

Practical Application & Exercises

  1. Architecture Review: Evaluate how Non-Relational (NoSQL) Solutions integrates with upstream and downstream systems.
  2. Implementation Challenge: Build a functional prototype demonstrating each of the subtopics.
  3. Validation & Testing: Verify performance and error handling under edge-case scenarios.

Summary Checklist

  • Studied foundational architecture for Non-Relational (NoSQL) Solutions
  • Completed practical coding challenge
  • Validated edge cases and error handling routines