Which of the following SQL keywords can be used to convert a table from a long format to a wide format?
The SQL keyword that can be used to convert a table from a long format to a wide format isPIVOT.The PIVOT clause is used to rotate the rows of a table into columns of a new table1.The PIVOT clause can aggregate the values of a column based on the distinct values of another column, and use those values as the column names of the new table1.The PIVOT clause can be useful for transforming data from a long format, where each row represents an observation with multiple attributes, to a wide format, where each row represents an observation with a single attribute and multiple values2.For example, the PIVOT clause can be used to convert a table that contains the sales of different products by different regions into a table that contains the sales of each product by each region as separate columns1.
The other options are not suitable for converting a table from a long format to a wide format.CONVERT is a function that can be used to change the data type of an expression3.WHERE is a clause that can be used to filter the rows of a table based on a condition4.TRANSFORM is a keyword that can be used to apply a user-defined function to a group of rows in a table5. SUM is a function that can be used to calculate the total of a numeric column.
1:PIVOT | Databricks on AWS
2:Reshaping Data - Long vs Wide Format | Databricks on AWS
3:CONVERT | Databricks on AWS
4:WHERE | Databricks on AWS
5:TRANSFORM | Databricks on AWS
: [SUM | Databricks on AWS]
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