These are some of the Informatica transformations that are frequently used in Oracle Business Intelligence Applications (OBIA). The OBIA SDE and SIL mappings used to load the Oracle Business Analytics Warehouse (OBAW) are built using these and other transformations.
1. Source Qualifier
The Source Qualifier transformation is used to bring data from one or more tables from the same source into the mapping. If being used for more than one table, then a join condition needs to be defined between the tables. The typical naming convention for a Source Qualifier transformation is SQ_* or sq_*.
2. Joiner
The Joiner transformation is used to join tables in different data sources. The typical naming convention for a Joiner transformation is JNR_* or jnr_*.
3. Expression
The Expression transformation is used to perform simple row-based calculations or derivations. The typical naming convention for an Expression transformation is EXP_* or exp_*.
4. Filter
The Filter transformation is similar to a where clause in SQL – it adds a conditional filter to the data passing through the mapping. The typical naming convention for a Filter transformation is FIL_* or fil_*.
5. Aggregator
The Aggregator transformation is used to perform aggregate calculations on the data passing through the mapping, for example, performing a sum or max. The typical naming convention for an Aggregator transformation is AGG_* or agg_*.
6. Lookup
The Lookup transformation is used to lookup values based on another known/submitted value, and pass the looked up value into the mapping. There are 2 types of Lookups – connected and unconnected. The typical naming convention for a Lookup transformation is LKP_* or lkp_*.
7. Update Strategy
The Update Strategy transformation is used to determine and perform the appropriate course of action for data in the mapping. Based on the determined state of the data, the transformation is used to insert, update, delete or reject records. The typical naming convention for an Update Strategy transformation is UPD_* or upd_*.
1. Source Qualifier
The Source Qualifier transformation is used to bring data from one or more tables from the same source into the mapping. If being used for more than one table, then a join condition needs to be defined between the tables. The typical naming convention for a Source Qualifier transformation is SQ_* or sq_*.
2. Joiner
The Joiner transformation is used to join tables in different data sources. The typical naming convention for a Joiner transformation is JNR_* or jnr_*.
3. Expression
The Expression transformation is used to perform simple row-based calculations or derivations. The typical naming convention for an Expression transformation is EXP_* or exp_*.
4. Filter
The Filter transformation is similar to a where clause in SQL – it adds a conditional filter to the data passing through the mapping. The typical naming convention for a Filter transformation is FIL_* or fil_*.
5. Aggregator
The Aggregator transformation is used to perform aggregate calculations on the data passing through the mapping, for example, performing a sum or max. The typical naming convention for an Aggregator transformation is AGG_* or agg_*.
6. Lookup
The Lookup transformation is used to lookup values based on another known/submitted value, and pass the looked up value into the mapping. There are 2 types of Lookups – connected and unconnected. The typical naming convention for a Lookup transformation is LKP_* or lkp_*.
7. Update Strategy
The Update Strategy transformation is used to determine and perform the appropriate course of action for data in the mapping. Based on the determined state of the data, the transformation is used to insert, update, delete or reject records. The typical naming convention for an Update Strategy transformation is UPD_* or upd_*.
