Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Visual Design of GraphQL Data: A Practical Introduction with Legacy Data and Neo4j

Buy
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. 

(HTML tags aren't allowed.)

Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

A comprehensive guide to advanced deep learning techniques, including autoencoders, GANs, VAEs, and deep reinforcement learning that drive today's most impressive AI results

Key Features

  • Explore the most advanced deep learning techniques that drive modern AI results
  • ...
The Tech Professional's Guide to Communicating in a Global Workplace: Adapting Across Cultural and Gender Boundaries
The Tech Professional's Guide to Communicating in a Global Workplace: Adapting Across Cultural and Gender Boundaries
Information technologists are increasingly being made part of global teams, and are confronting the challenges of communicating across a variety of linguistic and cultural boundaries. This book helps you know what to say, what not to say, and even where to sit in meetings and in social situations.

The Tech...
Professional Scala: Combine object-oriented and functional programming to build high-performance applications
Professional Scala: Combine object-oriented and functional programming to build high-performance applications

If your application source code is overly verbose, it can be a nightmare to maintain. Write concise and expressive, type-safe code in an environment that lets you build for the JVM, browser, and more.

Key Features

  • Expert guidance that shows you to efficiently use both object-oriented and...

Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python
Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras

Key Features

  • Implement machine learning algorithms to build, train, and validate algorithmic models
  • Create your own algorithmic design process to apply...
Data Science Fundamentals for Python and MongoDB
Data Science Fundamentals for Python and MongoDB
Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate....
Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services
Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services
Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy