Types of Transformation Functions in Informatica PowerCenter

The different types of transformation functions available in Informatica PowerCenter include:

• Aggregator Transformation
• Expression Transformation
• Joiner Transformation
• Filter Transformation
• Rank Transformation
• Lookup Transformation

Focus Keyword: Data Transformation Pipeline

Using Transformation Functions in a Data Transformation Pipeline

When creating a data transformation pipeline in Informatica PowerCenter, you can leverage the various transformation functions to manipulate and process the data. Here's how you can use them:

1. Aggregator Transformation: Use this function to perform calculations, such as sum, average, count, etc., on a group of rows in a data set.
2. Expression Transformation: This function helps in creating new calculated fields or manipulating existing data based on defined logic.
3. Joiner Transformation: Use this function to combine data from multiple sources based on a common key.
4. Filter Transformation: Filter out data that does not meet specific criteria or conditions.
5. Rank Transformation: Rank data based on specified criteria, such as top N values, bottom N values, etc.
6. Lookup Transformation: Retrieve data from a reference table based on a lookup condition.

By strategically incorporating these transformation functions in your data transformation pipeline, you can efficiently process and transform data as per the business requirements.