| Word-based pattern profiling |
In addition to a character-based approach, you can now analyze the
patterns of your data at the "word" level. Word-based patterns are more
coarse-grain than character-based patterns, which makes it easier to spot
outliers for any data that doesn't respect a strict format. Consequently,
switching between character-based and word-based patterns lets you easily
highlight data quality issues.
|
| Support for Asian characters |
Talend Cloud Data Preparation fully
supports Kana, Kanji and Hangul when preparing or profiling data, extending
coverage for data curation and data quality in Asia.
|
| Improved data masking |
The Data masking (Obfuscation) function offers
more advanced parameters, allowing you to select the masking routine,
including semantic masking, that respects the semantic type of your columns,
bringing self-service data privacy to more users.
|
| Performance improvements |
User interface performance has been optimized and the application now
offers a considerably faster experience when preparing data. |
| New functions |
- You can use the Delete empty columns function
on the whole grid to remove all the columns that do not contain any
data, in a single action.
- You can use the Generate UUID function to
create unique technical IDs for all the records in a preparation.
|
