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Why is GraphQL the most innovative technology for fetching data since Ajax? By providing a query language for your APIs and a runtime for fulfilling queries with your data, GraphQL presents a clear alternative to REST and ad hoc web service architectures. With this practical guide, Alex Banks and Eve Porcello deliver a clear learning path for frontend web developers, backend engineers, and project and product managers looking to get started with GraphQL. You’ll explore graph theory, the graph data structure, and GraphQL types before learning hands-on how to build a schema for a photo-sharing application. This book also introduces you to Apollo Client, a popular framework you can use to connect GraphQL to your user interface. Explore graph theory and review popular graph examples in use today Learn how GraphQL applies database querying methods to the internet Create a schema for a PhotoShare application that serves as a roadmap and a contract between the frontend and backend teams Use JavaScript to build a fully functioning GraphQL service and Apollo to implement a client Learn how to prepare GraphQL APIs and clients for production
Build data-driven React applications with ease using GraphQL and Relay About This Book Take your React applications to the next level with GraphQl and Relay Explore the concepts of data fetching, data handling, and more Learn to deploy your applications, which are compliant with GraphQl and Relay Who This Book Is For This book is perfect for those who have no prior experience or familiarity with Relay and/or GraphQL. You should be comfortable writing NodeJS applications on a MongoDB database with REST APIs as well as applications on the client-side using React and ES2015. What You Will Learn Understand what problem GraphQL solves and how it differs from traditional REST architectures Create a GraphQL server Develop modular and maintainable GraphQL code Grasp how to define GraphQL mutations Comprehend how to define GraphQL queries Modify a GraphQL server to be Relay-compliant Develop a Relay client-side application with ReactJS that consumes a GraphQL endpoint In Detail There's a new choice for implementing APIs – the open source and Facebook-created GraphQL specification. Designed to solve many of the issues of working with REST, GraphQL comes alongside RelayJS, a React library for querying a server that implements the GraphQL specification. This book takes you quickly and simply through the skills you need to be able to build production ready applications with both GraphQL and RelayJS. Beginning with a solid foundation in the GraphQl specification, this book swiftly moves to how a data layer can be implemented for your web application using Relay. Get to grips with GraphQL and Relay concepts creating data containers, data masking, and more as your progress towards building a production-ready application. Style and approach This book serves as the answer to every question related to data-driven app development with React. Using real-world examples, this book will show you how to enhance the functionality of React apps by introducing efficient data handling features within the app.
This is a book for developers, who not only want to learn how to develop software for Alexa but also want to make money with Alexa. Want to start a side business or a SaaS startup? Just as in the early days of mobile, when fortunes were made with mobile apps on the app store, it is now the perfect time to catch the opportunities offered by voice apps. Amazon Alexa, the voice platform with the broadest adoption, helps developers like you and me, to develop, distribute, market and monetize their Alexa Skills on the Amazon Alexa Store. Want to develop and program Alexa Skills? In this book, you learn step-by-step how to create your first Alexa Skill with the Alexa Developer Console, AWS Lambda, the Alexa CLI, and node.js with the Alexa SDK. Want to scale and grow your Alexa Software Startup? You get a deep-dive into the various ways of making money with Alexa. You learn about the business models for Alexa Skills, marketing and monetizing your Alexa Skill on and off the Alexa Store, opportunities for offering in-skill purchases, and about programming the various purchase and payment flows. Want to build advanced Alexa Skills that users love? The book covers many advanced features of Alexa in plain English, such as account linking, audio streaming, session management and much more. You learn how to personalize your Skill with the user's data and linking the Skill to popular cloud apps, such as Spotify, Google and many more. This will help you create unique apps that stand out on the market and improve the lives of many Alexa users.
Unearth the power of GraphQL, React, Apollo, Node, and Express to build a scalable, production ready application Key Features Build full stack applications with modern APIs using GraphQL and Apollo Integrate Apollo into React and build frontend components using GraphQL Implement a self-updating notification pop-up with a unique GraphQL feature called Subscriptions Book Description React, one of the most widely used JavaScript frameworks, allows developers to build fast and scalable front end applications for any use case. GraphQL is the modern way of querying an API. It represents an alternative to REST and is the next evolution in web development. Combining these two revolutionary technologies will give you a future-proof and scalable stack you can start building your business around. This book will guide you in implementing applications by using React, Apollo, Node.js and SQL. We'll focus on solving complex problems with GraphQL, such as abstracting multi-table database architectures and handling image uploads. Our client, and server will be powered by Apollo. Finally we will go ahead and build a complete Graphbook. While building the app, we'll cover the tricky parts of connecting React to the back end, and maintaining and synchronizing state. We'll learn all about querying data and authenticating users. We'll write test cases to verify the front end and back end functionality for our application and cover deployment. By the end of the book, you will be proficient in using GraphQL and React for your full-stack development requirements. What you will learn Resolve data from multi-table database and system architectures Build a GraphQL API by implementing models and schemas with Apollo and Sequelize Set up an Apollo Client and build front end components using React Use Mocha to test your full-stack application Write complex React components and share data across them Deploy your application using Docker Who this book is for The book is for web developers who want to enhance their skills and build complete full stack applications using industry standards. Familiarity with JavaScript, React, and GraphQL is expected to get the most from this book.
This study has two major purposes: (1) investigate the differences between REST-based and GraphQL request-response Application Programming Interfaces (APIs) and (2) make recommendations for choosing between both methods. After an introductory chapter on software-as-a-service, and APIs, a broad overview of available API approaches situates both the REST- based and GraphQL approaches in the API landscape. In the case of the data-oriented software, the REST-based and GraphQL approaches look interesting and warrant a further comparison. This comparison is made by building two equivalent APIs using both approaches and comparing these on the usability, performance and maintainability software quality attributes. Usability is investigated with a survey and by comparing concrete differences when using both APIs. Performance is examined by performing several benchmarks where we look at average response time and used bandwidth. Maintainability is analyzed by looking at the modifiability, understandability, and testability of both approaches. It is found that making requests with REST-based APIs is easier, whereas GraphQL APIs have a higher learning curve and greater complexity. However, GraphQL APIs are more flexible which results in better API responses and fewer requests that need to be made. The REST-based approach outperforms GraphQL when requesting the same information as it has less overhead. In the case of more realistic use cases or when only a subset of information is required, the GraphQL approach outperforms the REST-based approach with a large margin. Both approaches have their pros and cons regarding maintainability: GraphQL has a precise specification, allows for easier modification of the API but has less mature frameworks available. The REST-based approach has many different interpretations and implementations but is more known and has more mature frameworks available. The thesis argues that a decision needs to be made by looking at the API users, the API designers, and the system. A series of questions and a decision tree are drafted that help the decision process. In general, the GraphQL method can be advised in cases where: the API users are willing and capable of learning a new technology the API needs to be very flexible there is a high level of linked resources the API is going to be used in network constrained environments The REST-based method can be advised when: the API users are not willing or are not capable of learning a new technology the API designers are required to use a method that has proven itself over an extended period of time there is a little amount of flexibility needed there is no (good) GraphQL implementation available in the required programming language This advice can change as GraphQL matures and becomes more known and widespread.
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.
Want to build APIs like Facebook? Since Facebook's framework for building APIs, GraphQL, has become publicly available, this ambition seems to be within reach for many companies. And that is great. But first, let's learn what GraphQL really is and - maybe even more importantly - let's figure out how to apply GraphQL to build APIs that consumers love. In this book, we take a hands-on approach to learning GraphQL. We first explore the concepts of the two GraphQL languages using examples. Then we start writing some code for our first GraphQL API. We develop this API step by step, from creating a schema and resolving queries, over mocking data and connecting data sources all the way to developing mutations and setting up event subscriptions. Are your API consumers important to you? This book shows you how to apply a consumer-oriented design process for GraphQL APIs, so you can deliver what your consumers really want: an API that solves their problems and offers a great developer experience. Do you want to enable the API consumers so they can build great apps? This book explains the GraphQL query language, which allows the API consumers to retrieve data, write data and get notified when data changes. More importantly, you let them decide, which data they really need from the API. Do you want to make your API easy and intuitive to use? This book shows you how to use the GraphQL schema language to define a type system for your API, which serves as a reference documentation and helps your API consumers write queries that are syntactically correct. Do you want to profit from what has worked for others? This book provides a collection of best practices for GraphQL that have worked for other companies, e.g. regarding pagination, authentication and caching. GraphQL and REST are competing philosophies for building APIs. It is not in the scope of this book to compare or discuss the two approaches. The focus of this book is on a hands-on approach for learning GraphQL.

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