Advanced Hierarchical Data Management in SQL Server
Discover the secrets to mastering hierarchical data management in SQL Server. This course will teach you effective strategies and techniques for efficiently querying, navigating, and optimizing complex hierarchical data.
What you'll learn
Managing large hierarchical structures in SQL Server can be a daunting task, often leading to performance issues and complex queries that are difficult to write and maintain.
In this course, Advanced Hierarchical Data Management in SQL Server, you'll gain the ability to efficiently query, navigate, and optimize complex hierarchical data.
First, you'll explore various strategies and approaches for solving the challenges associated with hierarchical data management, such as path enumeration methods, nested set models, and materialized path methods.
Next, you'll discover how to implement these techniques through practical demonstrations, including using recursive queries, designing nested set models, and applying materialized path structures.
Finally, you'll learn how to design efficient and scalable hierarchical data models, considering factors like denormalization, partitioning, and performance optimization.
When you're finished with this course, you'll have the skills and knowledge of advanced hierarchical data management in SQL Server needed to effectively handle large hierarchical structures and optimize your database performance.
Table of contents
- Challenges and Strategies for Managing Large Hierarchical Structures 4m
- Demo: Implementing Path Enumeration Methods 5m
- Demo: Using Nested Set Models to Manage Tree-structured Data 7m
- Demo: Applying Materialized Path Methods to Manage Complex Data 5m
- Demo: Managing and Querying Graph-based Data Structures 7m
- Designing Efficient and Scalable Hierarchical Data Models 3m