"Fauna FQL in Depth" "Fauna FQL in Depth" is the definitive guide for database professionals, architects, and developers seeking mastery over FaunaDB and its powerful query language, FQL. This comprehensive volume unpacks the distributed, transactional architecture that underpins Fauna, detailing its ACID guarantees, global partitioning strategies, and robust security model. Readers will gain a holistic understanding of how Fauna fits into modern cloud, serverless, and edge environments-supported by a thorough exploration of operational monitoring, observability, and seamless integration practices. Through a series of focused chapters, the book methodically covers the FQL language, from its functional and declarative paradigms to advanced constructs such as higher-order functions, error handling, and pattern matching. The coverage extends to critical real-world areas such as advanced data modeling, scalable index design, graph-like relationships, and multi-tenant hierarchies. Whether performing transactional CRUD operations, executing analytical aggregates, or composing complex streaming queries, practitioners are guided with best practices for efficiency, maintainability, and clarity. Security, automation, and operational excellence are treated as first-class concerns, with in-depth guidance on RBAC and attribute-based access control, comprehensive auditing, and building resilient, testable FQL-driven systems. A dedicated treatment of user-defined functions, workflow orchestration, and integration with serverless architectures empowers readers to automate and extend Fauna with confidence. Rounding out the text are proven strategies for debugging, performance tuning, schema evolution, and insight into Fauna's future directions-equipping readers to build reliable, future-ready data solutions with FaunaDB and FQL.
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