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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.

Data mining. --- Application software --- Development of application software --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Development. --- Library automation --- Programming --- Information systems

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Data mining --- Exploration de donnés (Informatique) --- Information systems --- 681.3*E --- Management Information System --- econometrie --- wiskundige statistiek --- dataverwerking --- 681.3*E Data --- Data --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Data mining. --- Exploration de données (Informatique) --- Database searching --- Exploration de données (Informatique)

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Data mining --- Statistical methods --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Minería de datos --- Métodos estadísticos --- Publicaciones periódicas --- Statistical methods. --- Statistical data mining --- data mining --- Mathematical Sciences --- Applied Mathematics

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"This book provides comprehensive information on data analytics. It begins with a preliminary introduction and overview of the data mining process in Part I. In Part II the authors move on to discuss data exploration and dimension reduction. Part III covers performance evaluation and Part IV goes into prediction and classification methods. Part V shows how mining relationships among records are determined before the book moves to forecasting time series in Part VI. The book closes with a more in-depth look at data analytics in Part VII and case studies in Part VIII"--

Quantitative methods in social research --- Artificial intelligence. Robotics. Simulation. Graphics --- Business --- Data mining --- Data processing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Electronic data processing --- 681.3*H28 --- 681.3*H28 Database applications --- Database applications

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Big data --- Data mining --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data sets, Large --- Large data sets --- Data sets --- Mathematical statistics --- Computer. Automation --- Big data. --- Data mining. --- Computer Science --- Ciències de la informació. --- Ciència de la informació --- Ciències de la documentació --- Comunicació --- Bibliologia --- Bioinformàtica --- Documentació --- Geomàtica --- Informàtica jurídica --- Informàtica mèdica --- Quimioinformàtica --- Recuperació de la informació --- Fonts d'informació --- Serveis d'informació --- Sostenibilitat (Ciències de la informació) --- Alfabetització informacional