Скачать или смотреть Active vs Passive Transformations | Informatica Power Center

🔎 Elevate your ETL expertise with our detailed walkthrough on Informatica Lookup Transformation! This video is crafted for data professionals seeking to enhance their data processing skills using Informatica PowerCenter's powerful Lookup Transformation feature.

🔗 What You Will Learn:
In Informatica PowerCenter, transformations can be categorized as either active or passive. These categories are based on how they process and affect the rows of data that pass through them during a session run.

*Active Transformation:*
An active transformation can change the number of rows that pass through it. It can either increase, decrease, or maintain the row count.
It can change the order of rows. For example, a Sorter transformation is active because it changes the order in which rows are processed.
It can change the transaction boundary by defining a commit or rollback point. For example, the Transaction Control transformation is active.
Examples of active transformations include Filter, Aggregator, Rank, Sorter, Router, and Update Strategy.

*Passive Transformation:*
A passive transformation does not change the number of rows that pass through it. It processes each row and passes it on without affecting the row count.
It does not change the order of rows.
It does not affect the transaction boundary.
Examples of passive transformations include Expression, Sequence Generator, Lookup (when not configured to drop rows), and Stored Procedure.

The distinction between active and passive transformations is crucial when designing ETL (Extract, Transform, Load) mappings because it affects the flow of data and the overall performance of the data integration process. Understanding whether a transformation is active or passive helps in predicting how it will interact with other transformations in a mapping and how it will influence the dataset being processed.

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📚 Further Learning Resources:
https://docs.informatica.com/integrat...

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