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SQL Tutorial - PIVOT

Another video brought to you by BeardedDev, bringing you tutorials on Business Intelligence, SQL Programming and Data Analysis. In this video I talk about using PIVOT in Microsoft SQL Server. T-SQL Querying https://www.amazon.com/gp/product/073... T-SQL Fundamentals https://www.amazon.com/gp/product/150... Microsoft SQL Server 2012 High-Performance T-SQL Using Window Functions https://www.amazon.com/gp/product/073... Using PIVOT allows us rotate data from rows to columns making the data more readable. PIVOT is ideal for reporting in SQL Server and can be used as a starting point to visualise trends. In this PIVOT tutorial I demonstrate the difference between how data is presented compared to GROUP BY. PIVOT Syntax SELECT [columns] FROM ( [source_query] ) PIVOT ( [aggr_function]([aggr_column] FOR [spreading_column] IN ([spreading_elements])) SQL Queries in the video: Results using GROUP BY statement SELECT Sales_Customer_Id , DATENAME(MONTH, Sales_Date) AS [Month] , Sales_Amount FROM dbo.Sales GROUP BY Sales_Customer_Id , DATENAME(MONTH, Sales_Date) Results using PIVOT statement SELECT Sales_Customer_Id , [January] , [February] , [March] FROM ( SELECT Sales_Customer_Id , DATENAME(MONTH, Sales_Date) AS [Month] , Sales_Amount FROM dbo.Sales ) AS Src PIVOT ( SUM(Sales_Amount) FOR [Month] IN ([January], [February], [March]) ) AS Pvt Alternative PIVOT statement SELECT [Month] , [1] , [2] , [3] , [4] , [5] , [6] , [7] , [8] FROM ( SELECT Sales_Customer_Id , DATENAME(MONTH, Sales_Date) AS [Month] , Sales_Amount FROM dbo.Sales ) AS Src PIVOT ( SUM(Sales_Amount) FOR Sales_Customer_Id IN ([1], [2], [3], [4], [5], [6], [7], [8]) ) AS Pvt Please feel free to post comments.