Talend Cloud Data Preparation
| Feature | Description |
|---|---|
| Magic Fill improvements | As part of the substring type transformations, the Magic
Fill function can now handle acronyms. You can convert
names, units or expressions, regardless of the case, to their abbreviated
forms, and decide on how to separate characters and which case to use in the
output column.
|
| Improved standardization possibilities | The Standardize value function
can now be applied to columns based on compound semantic types, and not only
dictionary types. In the same way, when editing a value in the grid, suggestions will now be also available in columns based on compound semantic types, in addition to dictionaries. 
|
| Normalize values extracted by semantic types | When using the Extract values by semantic type
function, it is now possible to replace the extracted value with the value
in the dictionary by using the Normalize value option.
|
Get started with Talend Cloud Data Preparation on Talend Cloud Data Preparation Getting Started Guide.
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