Learn why representing data as a graph is a win when building your API - both for API developers and consumers and especially if you are working with graph data in the data layer, such as with a graph database like Neo4j. In this talk we dive into backend considerations for GraphQL and show how to leverage the power of representing your API data with graph using GraphQL and graph databases on the backend. After this talk you will:

  • Understand the basics of GraphQL
  • Be able to query a GraphQL API
  • Understand how a GraphQL service is built
  • Be exposed to some of the tooling in the GraphQL ecosystem, including database and frontend framework integrations
  • Learn how to build full-stack applications with GRANDstack