English | Size: 174.02 MB
Genre: eLearning
SQL Server’s data engine traditionally stores relational data but it can also be used to store data in non-relational schemas. You’ll learn about one example — Entity, Attribute, Value (EAV).
What you’ll learn
SQL Server’s Transact-SQL language has the ability to transform relational data in a wide variety of ways. In this course, Advanced Querying Techniques in SQL Server, you’ll gain the ability to solve four important problems using SQL Server. First, you’ll learn how to navigate hierarchical data using recursive common table expressions (CTEs). Second, you’ll explore how to rotate tabular data while aggregating desired metrics using PIVOT. Next, you’ll discover how to transform cross tabulated data into relational data using UNPIVOT. Then, you’ll see how to use semantic data modeling and 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’re finished with this course, you’ll have the skills and knowledge of advanced SQL Server querying techniques needed to quickly address the problems presented here.
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