Search results for: fullstack-graphql-applications-with-grandstack

Full Stack GraphQL Applications

Author : William Lyon
File Size : 57.41 MB
Format : PDF
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GraphQL radically improves the efficiency of web APIs, reducing the number of requests and the volume of data in-transit within your web applications. You can amplify the benefits of GraphQL by adjusting your stack to match GraphQL''s more natural representation of your data as a graph. In Fullstack GraphQL Applications with GRANDstack you''ll learn to build graph-aware end-to-end web applications using GraphQL, React, Apollo, and the Neo4j graph database. about the technology Over-fetching or under-fetching data from REST APIs makes your applications slow and unreliable, especially over weak mobile network connections. The GraphQL query language offers a solution with a new API paradigm, reducing loads by constructing precise graph-based data requests. By adapting your application''s design and data store to leverage graphs throughout the stack, you decrease friction by using a consistent data model improving developer productivity, performance and maintainability. The combination of GraphQL, React, Apollo, and Neo4j Database, aka "the GRANDstack," provides an easily adoptable end-to-end solution perfect for building fullstack GraphQL applications. about the book Fullstack GraphQL Applications with GRANDstack teaches you to leverage the power of GraphQL to create modern APIs that streamline data loads by allowing client applications to selectively fetch only the data required. GRANDstack.io contributor and GraphQL Foundation member William Lyon teaches you everything you need to know to design, deploy, and maintain a GraphQL API from scratch and create graph-aware fullstack web applications. In this project-driven book, you''ll build a complete business reviews application using the cutting-edge GRANDstack, learning how the different parts fit together. Chapter-by-chapter, you''ll master creating a GraphQL service with Apollo Server, modelling a GraphQL API with GraphQL type definitions, installing the Neo4j Database on different platforms, and more. By the time you''re done, you''ll be able to deploy all of the components of a serverless fullstack application in a secure and cost-effective way that takes full advantage of GraphQL''s performance capabilities. Along the way, you''ll also get tips for applying these techniques to other stacks. what''s inside Building the backend functionality of a GraphQL application Handling authentication and authorization with GraphQL Implementing pagination and rate limiting in a GraphQL API Create a basic frontend application using React and Apollo Client about the reader Aimed at developers comfortable building web applications using tools like Django, Rails, or MEAN stack and standard SQL-based databases. No experience with GraphQL or graph databases required. about the author William Lyon is a software developer at Neo4j, working on integrations with other technologies and helping users build applications with Neo4j. He is the creator and maintainer of neo4j-graphql.js, a JavaScript library for creating GraphQL APIs, and is a contributor to GRANDstack.io. He serves as Neo4j''s representative on the GraphQL Foundation.

Full Stack GraphQL Applications

Author : William Lyon
File Size : 75.39 MB
Format : PDF, Mobi
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Build hyper-fast and hyper-efficient web applications with GraphQL! This practical, comprehensive guide introduces the powerful GRANDStack for developing full stack web applications based in graph data structures. In Full Stack GraphQL Applications you will learn how to: Build backend functionalities for GraphQL applications Model a GraphQL API with GraphQL type definitions Utilize Neo4j as a backend database Handle authentication and authorization with GraphQL Implement pagination and rate limiting in a GraphQL API Develop a GraphQL service with Apollo Server Install Neo4j Database on different platforms Create a basic frontend application using React and Apollo Client Deploy a full stack GraphQL application to the cloud The GraphQL query language radically reduces over-fetching or under-fetching of data by constructing precise graph-based data requests. In Full Stack GraphQL Applications you’ll learn how to build graph-aware web applications that take full advantage of GraphQL’s amazing efficiency. Neo4j’s William Lyon teaches you everything you need to know to design, deploy, and maintain a GraphQL API from scratch. He reveals how you can build your web apps with GraphQL, React, Apollo, and Neo4j Database, aka “the GRANDstack,” to get maximum performance out of GraphQL. About the technology The GraphQL API query language radically streamlines data exchanges with backend servers by representing application data as easy-to-understand graphs. You can amplify GraphQL’s benefits by using graph-aware tools and data stores, like React, Apollo, and Neo4j, throughout your application. A full stack graph approach provides a consistent data model end to end, reducing friction in data fetching and increasing developer productivity. About the book Full Stack GraphQL Applications teaches you to build graph-aware web applications using GraphQL, React, Apollo, and the Neo4j database, collectively called “the GRANDstack.” Practical, hands-on examples quickly develop your understanding of how the GRANDstack fits together. As you go, you’ll create and deploy to the cloud a full-featured web application that includes search, authentication, and more. Soon, you’ll be ready to deploy end-to-end applications that take full advantage of GraphQL’s outstanding performance. What's inside Building a GraphQL backend using Neo4j Authentication and authorization with GraphQL Pagination and GraphQL abstract types A basic frontend application using React and Apollo Client Deploying to the cloud with Netlify, AWS Lambda, Auth0, and Neo4j Aura About the reader For full stack web developers. No experience with GraphQL or graph databases required. About the author William Lyon is a Staff Developer Advocate at Neo4j and blogger at lyonwj.com. Table of Contents PART 1 GETTING STARTED WITH FULL STACK GRAPHQL 1 What is full stack GraphQL? 2 Graph thinking with GraphQL 3 Graphs in the database 4 The Neo4j GraphQL Library PART 2 BUILDING THE FRONTEND 5 Building user interfaces with React 6 Client-side GraphQL with React and Apollo Client PART 3 FULL STACK CONSIDERATIONS 7 Adding authorization and authentication 8 Deploying our full stack GraphQL application 9 Advanced GraphQL considerations

Integrative Bioinformatics

Author : Ming Chen
File Size : 65.24 MB
Format : PDF, ePub
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This book provides an overview of the history of integrative bioinformatics and the actual situation and the relevant tools. Subjects cover the essential topics, basic introductions, and latest developments; biological data integration and manipulation; modeling and simulation of networks; as well as a number of applications of integrative bioinformatics. It aims to provide basic introduction of biological information systems and guidance for the computational analysis of systems biology. This book covers a range of issues and methods that unveil a multitude of omics data integration and relevance that integrative bioinformatics has today. It contains a unique compilation of invited and selected articles from the Journal of Integrative Bioinformatics (JIB) and annual meetings of the International Symposium on Integrative Bioinformatics.

Hands On Graph Analytics with Neo4j

Author : Estelle Scifo
File Size : 75.14 MB
Format : PDF, Docs
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To start with you will cover the basics of graph analytics, Cypher querying language, components of graph architecture, and more. You will implement Neo4j techniques to understand various graph analytics methods to reveal complex relationships in data. You will understand how machine learning can be used to perform smarter graph analytics.

Advances in Digital Forensics XVI

Author : Gilbert Peterson
File Size : 82.25 MB
Format : PDF
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Digital forensics deals with the acquisition, preservation, examination, analysis and presentation of electronic evidence. Computer networks, cloud computing, smartphones, embedded devices and the Internet of Things have expanded the role of digital forensics beyond traditional computer crime investigations. Practically every crime now involves some aspect of digital evidence; digital forensics provides the techniques and tools to articulate this evidence in legal proceedings. Digital forensics also has myriad intelligence applications; furthermore, it has a vital role in cyber security -- investigations of security breaches yield valuable information that can be used to design more secure and resilient systems. Advances in Digital Forensics XVI describes original research results and innovative applications in the discipline of digital forensics. In addition, it highlights some of the major technical and legal issues related to digital evidence and electronic crime investigations. The areas of coverage include: themes and issues, forensic techniques, filesystem forensics, cloud forensics, social media forensics, multimedia forensics, and novel applications. This book is the sixteenth volume in the annual series produced by the International Federation for Information Processing (IFIP) Working Group 11.9 on Digital Forensics, an international community of scientists, engineers and practitioners dedicated to advancing the state of the art of research and practice in digital forensics. The book contains a selection of sixteen edited papers from the Sixteenth Annual IFIP WG 11.9 International Conference on Digital Forensics, held in New Delhi, India, in the winter of 2020. Advances in Digital Forensics XVI is an important resource for researchers, faculty members and graduate students, as well as for practitioners and individuals engaged in research and development efforts for the law enforcement and intelligence communities.

Andersen M rchen

Author : Hans Christian Andersen
File Size : 48.1 MB
Format : PDF, Docs
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