Data Engineering Integration
- Data Engineering Integration 10.5.2
- All Products
Transformation
| Supported Engines
|
---|---|
Transformations not listed in this table are supported only in the native environment.
| |
Address Validator
|
|
Aggregator
|
|
Case Converter
|
|
Classifier
|
|
Comparison
|
|
Consolidation
|
|
Data Masking
|
|
Data Processor
|
|
Decision
|
|
Expression
|
|
Filter
|
|
Java
|
|
Joiner
|
|
Key Generator
|
|
Labeler
|
|
Lookup
|
|
Macro
|
|
Match
|
|
Merge
|
|
Normalizer
|
|
Parser
|
|
Python
|
|
Rank
|
|
Router
|
|
Rule Specification
|
|
Sequence Generator
|
|
Sorter
|
|
Standardizer
|
|
Union
|
|
Update Strategy
|
|
Weighted Average
|
|
Window
|
|
* Supported for both batch and streaming mappings.
** Supported with restrictions in batch mappings. Not supported in streaming mappings. For information about the Data Processor transformation support on the Spark engine, see the
KB article.
*** Supported for streaming mappings only. For more information, see the
Data Engineering Streaming User Guide . |
Can we switch back to native mode from non-native mode
Hi Biju,
We’re working to address your comments and will get back to you.
Thanks, Informatica Documentation team
Can we reuse the non-native transformations defined in the non-native environment in native mode by any mode of simple switching
Hi Biju,
We’re working to address your comments and will get back to you.
Thanks, Informatica Documentation team