Session
hierarchyid, graph, and Spatial Data types for the rescue!
Managing complex relationships in tabular database can be challenged. A relational database provides a basic solution by creating Single-to-Single or Single-to-Many relationships directly using primary key and foreign key.
This session is NOT about the theory but about practical solutions. In this session, I will demonstrate various methods and original tricks to improve working with complex data structures and complex queries.
We will discuss how we can use the built-in hierarchyid data type, Spatial Data types, and graph database capabilities to solve Many-to-Many relationship and other complex queries. We will show how we can use Spatial Data to solve “Hierarchical structure”, “gaps and islands”, and “ranges” problems.
This session is 100% practical solutions!
Ronen Ariely
🌐 Sr. Consultant & Architect, Data platforms & applications | 🎤 Intl. Speaker | 💾 Data Platforms Expert | 🏆 7x Former MVP | 🌍 Leads: Data Driven Community; Cloud Data Driven; Data GlobalHebrew;
Tel Aviv, Israel
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