While transforming your data, you may need to change the data type of one or more columns. For example, data of String type may be the easiest to manipulate. Since there are no mismatched values for String data type, you may wish to change a column's data type to this baseline type.
- Data types that you see in the Transformer page represent types that are understood by the product.
- When data is imported from a separate datastore, Cloud Dataprep by TRIFACTA INC. may apply internal data types to the data. These types may differ from the original data typing in the source. As needed, the inferring of data types can be disabled at the file, connection, or global level. For more information, see Disable Type Inference.
- When data is published from the product to a separate datastore, these types may be mapped to different data types in the target. For more information, see Type Conversions.
For more information on the available data types, see Supported Data Types.
A Note about Datetime Data Type
If you are changing a column's data type to Datetime, you must also select a format string to apply to the column. In the column menus, the available options can be selected after you select Datetime.
For more information, see Datetime Data Type.
Change from Column Menus
You can change the data type for individual columns through the following column menus:
To the left of the column name, you can click the icon and select a new data type from the list.
Figure: Column Data Type Menu
To the right of the column name, you can click the caret to open the column menu. Select Change Type and make a selection from the sub-menu.
Tip: Both of the above methods become individual steps in your recipe.
Change Data Type for Multiple Columns
If you must change the data type for multiple columns to a single data type, you can use a transformation like the following, which changes the columns
Address to String data type.
|Parameter: Column 1||
|Parameter: Column 2||
|Parameter: Column 3||
|Parameter: New Type||