Managing Pagination and Cache in GraphQL Applications

Modern web applications demand fast load times and seamless data delivery, yet managing large datasets and maintaining data consistency on the client can be challenging. This text-based course guides you through the core concepts of handling data flow efficiently using GraphQL. You will start with foundational terminology, learning how queries fetch data and how clients store that data locally. Next, you will explore pagination strategies, comparing offset-based approaches with modern cursor-based pagination (Connection specification) to handle infinite scroll and paginated views. Finally, you will dive into cache management, learning how to write cache updates, read fragment data, and handle cache normalization to prevent unnecessary network requests. What you'll learn: - Understand the core principles of GraphQL schema design for large-scale data retrieval - Implement offset-based and cursor-based pagination schemas and queries - Configure client-side cache policies to optimize network requests and application speed - Manage normalized cache states and handle manual cache updates after mutations - Apply modern best practices for pagination and cache synchronization without breaking UI states This course begins with essential definitions and step-by-step conceptual breakdowns before moving into practical implementation patterns. It is designed for developers who already understand basic GraphQL queries and want to build production-ready, highly performant frontends. No advanced system architecture experience is required. Start reading today to build faster, more responsive GraphQL applications.