Graph 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.
You’ll 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. You’ll 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, you’ll 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.

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Spis treści

Getting Started with the Graph Query Language (GQL). The complete guide to designing, querying, and managing graph databases with GQL eBook -- spis treści

• 1. Evolution Towards Graph Databases
• 2. Key Concepts of GQL
• 3. Getting Started
• 4. Basic GQL Statements
• 5. Operators and Logical Control
• 6. Functions
• 7. Advanced Clauses
• 8. Transaction Management
• 9. Sessions Management
• 10. Conformance to GQL Standard
• 11. Beyond the GQL Standard
• 12. A Case Study
• 13. The Evolving Landscape of GQL
• 14. Glossary and Resources