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

is PIVOT. 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.

Reference:

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]