Build hyper-fast and hyper-efficient web applications with GraphQL! This practical, comprehensive guide introduces the powerful GRANDStack for developing full stack web applications based in graph data structures. In Full Stack GraphQL Applications you will learn how to: Build backend functionalities for GraphQL applications Model a GraphQL API with GraphQL type definitions Utilize Neo4j as a backend database Handle authentication and authorization with GraphQL Implement pagination and rate limiting in a GraphQL ...
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Build hyper-fast and hyper-efficient web applications with GraphQL! This practical, comprehensive guide introduces the powerful GRANDStack for developing full stack web applications based in graph data structures. In Full Stack GraphQL Applications you will learn how to: Build backend functionalities for GraphQL applications Model a GraphQL API with GraphQL type definitions Utilize Neo4j as a backend database Handle authentication and authorization with GraphQL Implement pagination and rate limiting in a GraphQL API Develop a GraphQL service with Apollo Server Install Neo4j Database on different platforms Create a basic frontend application using React and Apollo Client Deploy a full stack GraphQL application to the cloud The GraphQL query language radically reduces over-fetching or under-fetching of data by constructing precise graph-based data requests. In Full Stack GraphQL Applications you'll learn how to build graph-aware web applications that take full advantage of GraphQL's amazing efficiency. Neo4j's William Lyon teaches you everything you need to know to design, deploy, and maintain a GraphQL API from scratch. He reveals how you can build your web apps with GraphQL, React, Apollo, and Neo4j Database, aka "the GRANDstack," to get maximum performance out of GraphQL. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology The GraphQL API query language radically streamlines data exchanges with backend servers by representing application data as easy-to-understand graphs. You can amplify GraphQL's benefits by using graph-aware tools and data stores, like React, Apollo, and Neo4j, throughout your application. A full stack graph approach provides a consistent data model end to end, reducing friction in data fetching and increasing developer productivity. About the book Full Stack GraphQL Applications teaches you to build graph-aware web applications using GraphQL, React, Apollo, and the Neo4j database, collectively called "the GRANDstack." Practical, hands-on examples quickly develop your understanding of how the GRANDstack fits together. As you go, you'll create and deploy to the cloud a full-featured web application that includes search, authentication, and more. Soon, you'll be ready to deploy end-to-end applications that take full advantage of GraphQL's outstanding performance. What's inside Building a GraphQL backend using Neo4j Authentication and authorization with GraphQL Pagination and GraphQL abstract types A basic frontend application using React and Apollo Client Deploying to the cloud with Netlify, AWS Lambda, Auth0, and Neo4j Aura About the reader For full stack web developers. No experience with GraphQL or graph databases required. About the author William Lyon is a Staff Developer Advocate at Neo4j and blogger at lyonwj.com. Table of Contents PART 1 GETTING STARTED WITH FULL STACK GRAPHQL 1 What is full stack GraphQL? 2 Graph thinking with GraphQL 3 Graphs in the database 4 The Neo4j GraphQL Library PART 2 BUILDING THE FRONTEND 5 Building user interfaces with React 6 Client-side GraphQL with React and Apollo Client PART 3 FULL STACK CONSIDERATIONS 7 Adding authorization and authentication 8 Deploying our full stack GraphQL application 9 Advanced GraphQL considerations
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