Skip to main content
SpringerLink
Log in
Apress

Visual Design of GraphQL Data

A Practical Introduction with Legacy Data and Neo4j

  • Book
  • © 2018

Overview

Authors:
  1. Thomas Frisendal

    1. Copenhagen S, Denmark

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • A compact, practical guide to the visual design for GraphQL data

  • Author is an expert on data visualization techniques in data science programming

  • Shows how to create property graph diagrams of your APIs

  • 15k Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 34.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 44.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (12 chapters)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Visual Design of GraphQL Data

    • Thomas Frisendal
    Pages 1-6

  3. GraphQL Concepts

    • Thomas Frisendal
    Pages 7-11

  4. Getting Started

    • Thomas Frisendal
    Pages 13-17

  5. An Email Example

    • Thomas Frisendal
    Pages 19-26

  6. Business Meaning

    • Thomas Frisendal
    Pages 27-34

  7. Presenting the Business Flow

    • Thomas Frisendal
    Pages 35-38

  8. Content Matters

    • Thomas Frisendal
    Pages 39-43

  9. Getting the Structure Right

    • Thomas Frisendal
    Pages 45-60

  10. From Graph to Trees

    • Thomas Frisendal
    Pages 61-68

  11. Resolving Legacy SQL Data Issues

    • Thomas Frisendal
    Pages 69-80

  12. Using GraphQL with an Existing Graph Database

    • Thomas Frisendal
    Pages 81-91

  13. Using GraphQL with a New Graph Database

    • Thomas Frisendal
    Pages 93-105

  14. Back Matter

    Pages 107-111
    Download chapter PDF
Back to top

Keywords

About this book

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.




What You Will Learn
  • Create quality GraphQL data designs
  • Avoid structural mistakes
  • Draw highly communicative property graph diagrams of your APIs



Who This Book Is For


Web developers and data architects who work with GraphQL and other APIs to build modern applications. 



Authors and Affiliations

  • Copenhagen S, Denmark

    Thomas Frisendal

About the author

Thomas Frisendal is an experienced data guy with more than 30 years on the IT vendor side and as an independent consultant. He has worked with databases and data modeling since the late 70s; since 1995 primarily on data warehouse projects. He has a strong urge to visualize everything as graphs - even data models. He excels in the art of turning data into information and knowledge. His approach to information-driven analysis and design is "New Nordic" in the sense that it represents the traditional Nordic values such as superior quality, functionality, reliability and innovation by new ways of communicating the structure and meaning of the business context.  Thomas is an active writer and speaker.  He has previously published Design Thinking Business Analysis: Business Concept Mapping Applied (Springer, 2012) and Graph Data Modeling for NoSQL and SQL: Visualize Structure and Meaning (Technics Publications, 2017). He blogs at Dataversity. Thomas lives in Copenhagen.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation