Discover over 50 practical examples and a real-world case study to help you build and query graph databases in this first comprehensive, hands-on guide to the Graph Query Language
Key Features
Learn and apply key concepts and syntax through interactive tutorials and practical examples via the GQL Playground Leverage advanced features of this popular language to manipulate graph data efficiently Discover practical GQL applications in data analytics and explore graph knowledge beyond it Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionGraph Query Language is a universal language for graph databases, designed to manage and support interconnected analytics and Gen-AI capabilities. Written by a powerhouse team of industry veterans, this book breaks down the fundamental GQL concepts for you, such as graph terms, definitions, the catalog's hierarchical system, and its objects. Youll get to grips with graph data types, value expressions, graph matching patterns, data and catalog modifying statements, functions, and various clauses through practical GQL examples. Access to the GQL Playground via Ultipa Graph will enable you to query and manipulate graph data. The book then covers advanced GQL topics, such as path modes, complex path matching patterns, shortest path queries, composite statements, session and transaction commands, and procedures. Youll also create extensions and understand the design of graph databases to solve industry issues. Techniques like property graphs will help you speed up and optimize your graph queries. By the end of this book, youll be able to use GQL to query and update data, run graph algorithms, generate results, and visualize them. You'll also gain insights into the future of GQL and graph technology and apply it to a real-world use case of money flow analysis to assess bank client behaviors and transaction risk detection.What you will learn
Experiment with GQL syntax on the GQL Playground, including Pattern MATCH, RETURN, INSERT, UPDATE, and DELETE Work with operators, functions, and variables in an organized fashion Get familiarized with complex topics, such as varying path matching modes, repeated variables, shortest path, procedures, and transactions Enhance execution speed through indexing or caching systems Understand how to manage access control effectively Tackle real-world issues with a case study focused on money transaction analytics
Who this book is forThis book is for graph database developers, DBAs, programmers, data engineers, and analysts who want to learn about the new graph database standard GQL. A basic understanding of graph and relational databases, data models, knowledge of SQL basics, and programming will make the content easy to grasp. This book is designed to be accessible even if you dont have a background in graph theory. However, familiarity with concepts like nodes, edges, relationships, and the distinction between directed and undirected graphs will enhance your learning experience.
