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ACID: The normalizer transformation generates this ID column for each set of multiple occurring column. It acts as the under for the instance of the multiple-occurring data. For example, if a column occurs 3 times in a source record, the normalizer returns a value of 1,2 or 3 in the generated column ID.
The normalizer transformation has a generated column ID (ACID) port for each multiple-occurring column. The ACID is an index for the instance of the multiple-occurring data. For example, if a column occurs 3 times in a source record, the normalizer returns a value of 1,2 or 3 in the generated column ID.
Hi Joy, Levels are used to define a hierarchy of the grouped column. For example there are two columns. Column_name and Column_value. Without level defined if you give the occurs as 2, you will see the port like.
Normalizer is an active transformation, used to convert a single row into multiple rows and vice versa. It is a smart way of representing your data in more organized manner. In this case, the class score column is repeating in four columns. Using normalizer, we can split these in the following data set.
Since the COBOL sources contain denormalized data, normalizer transformation is used to normalize the COBOL sources.
Expression Transformation in Informatica. Expression transformations are used for row-wise manipulation. For any manipulation, you wish to perform on an individual record, use an Expression transformation. The Expression transformation accepts the row-wise data, manipulates it, and passes it to the target.
Data transformation defined Data transformation can include a range of activities: you might convert data types, cleanse data by removing nulls or duplicate data, enrich the data, or perform aggregations, depending on the needs of your project. Typically, the process involves two stages.
Data transformation is the mapping and conversion of data from one format to another. For example, XML data can be transformed from XML data valid to one XML Schema to another XML document valid to a different XML Schema. Other examples include the data transformation from non-XML data to XML data.
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