Modeling, storing, and querying application data as a graph can help developers quickly get projects up and running by working with data the same way that we think about our domain: as a graph. In this talk we will explore how to apply this graph thinking technique to building GraphQL APIs using the Neo4j GraphQL Library and how we can leverage developer tools to go from idea to backend with nothing but graphs and GraphQL.

Ever wonder about the full data stack powering Guild? Taz will give you an in-depth show & tell of the end-to-end architecture, covering everything from:

• Database: how Postgres is used to manage & authorize deeply interconnected social data
• GraphQL server: how that Postgres database gets transformed into GraphQL
• GraphQL Persisted Operations: security & efficiency gains implemented on the server
• Fine-grained caching: how all data provided via GraphQL is cached for read-after-write consistency
• Server-side rendering: ensuring there isn't reflows / loading spinners/ re-rendering on initial load due to data fetching
• Client-side rendering: efficiently fetching data via Relay
• Data catalog: using GraphQL as a data catalog, to power all data fetching across Guild (i.e. not only the web app that you'd expect)

In this talk, we're unpacking GraphQL Fusion, a new approach that makes building distributed GraphQL APIs easier. We'll explore how this approach lets your teams work independently by owning different parts of the company's graph and cover how you can reshape subgraphs to follow your company's rules. Come learn about this powerful tool that brings efficiency and customization to your GraphQL operations.

Everything you need to know to write maintainable GraphQL query documents—from variables and fragments to pagination patterns. Practical examples with curl and jq against a real API.