Visual Design of GraphQL Data [electronic resource] : A Practical Introduction with Legacy Data and Neo4j /
Frisendal, Thomas.author.
Get an introduction to the visual design of GraphQL data and concepts, including GraphQL structures, semantics, and schemas in this compact, pragmatic book. In it you will see simple guidelines based on lessons learned from real-life data discovery and unification, as well as useful visualization techniques. These in turn help you improve the quality of your API designs and give you the skills to produce convincing visual communications about the structure of your API designs. Finally, Visual Design of GraphQL Data shows you how to handle GraphQL with legacy data as well as with Neo4j graph databases. Spending time on schema quality means that you will work from sharper definitions, which in turn leads to greater productivity and well-structured applications. You will: Create quality GraphQL data designs Avoid structural mistakes Draw highly communicative property graph diagrams of your APIs.
1. Visual Design of GraphQL Data -- 2. GraphQL Concepts -- 3. Getting Started -- 4. An Email Example -- 5. Business Meaning -- 6. Presenting the Business Flow -- 7. Content Matters -- 8. Getting the Structure Right -- 9. From Graph to Trees -- 10. Resolving Legacy SQL Data Issues -- 11. Using GraphQL with an Existing Graph Database -- 12. Using GraphQL with a New Graph Database -- Afterword: Summary.
Get an introduction to the visual design of GraphQL data and concepts, including GraphQL structures, semantics, and schemas in this compact, pragmatic book. In it you will see simple guidelines based on lessons learned from real-life data discovery and unification, as well as useful visualization techniques. These in turn help you improve the quality of your API designs and give you the skills to produce convincing visual communications about the structure of your API designs. Finally, Visual Design of GraphQL Data shows you how to handle GraphQL with legacy data as well as with Neo4j graph databases. Spending time on schema quality means that you will work from sharper definitions, which in turn leads to greater productivity and well-structured applications. You will: Create quality GraphQL data designs Avoid structural mistakes Draw highly communicative property graph diagrams of your APIs.
Programming languages (Electronic computers).
Database management.
Computer programming.
Programming Languages, Compilers, Interpreters.
Database Management.
Web Development.