Advanced Querying Techniques in SQL Server course. The SQL Server data engine traditionally stores relational data, but it can also be used to store data in non-relational schemas. You will learn about an example – Entity, Attribute, Value (EAV). SQL Server’s Transact-SQL language has the ability to transform relational data in many ways. In this course, Advanced Query Techniques in SQL Server, you will gain the ability to solve four important problems using SQL Server. First, you’ll learn how to manipulate hierarchical data using recursive common table expressions (CTEs). Second, you will explore how to pivot tabular data while gathering desired metrics using PIVOT. Next, you’ll learn how to convert crosstabulated data to relational data using UNPIVOT. Then, you’ll see how to use semantic data modeling and the Entry, Attribute, and Value data structures when a purely relational model limits flexibility and attributes can change frequently. Finally, you’ll learn how to sample SQL Server data for analysis and testing. When you complete this course, you will have the skills and knowledge of advanced SQL Server query techniques needed to quickly address the problems presented here.
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