Visual Design Of Graphql Data
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Visual Design of GraphQL Data
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.
Data Management at Scale
Author: Piethein Strengholt
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2023-04-10
As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including regulatory requirements, privacy concerns, and new developments such as data mesh and data fabric Go deep into building a modern data architecture, including cloud data landing zones, domain-driven design, data product design, and more Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
Advanced GraphSQL Solutions: Strategies and Techniques for Effective Implementation
"Advanced GraphSQL Solutions: Strategies and Techniques for Effective Implementation" is an essential resource for professionals aiming to elevate their expertise in GraphSQL technology. Designed for both newcomers and seasoned developers, this comprehensive guide navigates through the intricacies of setting up a GraphSQL environment, designing robust schemas, and optimizing performance to seamlessly integrate with contemporary frontend frameworks. Emphasizing practical, real-world applications, each chapter unveils crucial concepts, sophisticated techniques, and industry-proven practices that empower you to craft efficient, scalable, and secure GraphSQL implementations. Explore in-depth discussions on advanced query handling, transaction management, data relationships, and performance tuning, ensuring your applications are both resilient and agile. This book distinguishes itself by blending theoretical insights with actionable guidance, real-world examples, and illustrative case studies that vividly demonstrate the transformative power of GraphSQL. Targeted at developers, IT architects, and technology enthusiasts, "Advanced GraphSQL Solutions" serves as both an enlightening educational journey and a dependable reference tool. Unlock the full potential of GraphSQL to redefine how you approach data management and application development, ensuring a more dynamic and robust digital ecosystem.