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Frontend System Design
The RADIO Framework
Requirements
Architecture
Data Modeling
Interface Design
Performance Optimizations
Data Normalization
Common Mistakes
Apollo Client Caching
ARIA Roles and Attributes
Broadcast Channel API Guide
Core Web Vitals Guide
Image Caching Strategies
Image Optimization Strategies
IndexedDB Guide
Data Fetching Strategies
Frontend Security Best Practices
Server-Side Rendering vs Client-Side Rendering
Web Accessibility Best Practices
Understanding XSS and CORS
Designing an Autocomplete System
Design Google Sheets
Designing Pinterest's Frontend Architecture
Designing a Sprint Board
Design Rich Text Editor (WYSIWYG)
Design Chat Application
Basics

Data Normalization

Master normalized vs non-normalized caching strategies for optimal frontend performance

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Performance Optimizations

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Common Mistakes

Avoid these critical pitfalls during frontend system design interviews

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Data Normalization: Frontend Caching StrategiesWhat is Data Normalization?Key Benefits:Real-World Example: E-commerce ReviewsNon-Normalized Approach (Redundant)Normalized Approach (Optimized)Implementation ExamplesReact with Redux ToolkitApollo Client (GraphQL)React Query with Manual NormalizationWhen to Use Each ApproachUse Non-Normalized When:Use Normalized When:Performance ComparisonInterview TipsWhat Interviewers Look For:Sample Interview Questions:Key Points to Mention:Popular Libraries & ToolsBuilt-in Normalization Support:Manual Normalization Helpers:Summary

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