06 Validation Transformations

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Transformations

These are the transformations that are used to apply the business rules on the data to transform fromthe source format to the target format or to check that the good data gets in to the next stage and data

cleansing and many more.

Validation

Validation Query transformation is used to validate the data and allows the valid data to move to the

next phase of the job.

As per SAP AIO we use 3 types of validations to validate the data.

1) Lookup validation2) Format validation3) Mandatory validation

Lookup validation is used to cross check the data from the lookup table. If the data exists in the lookuptable then it will be passed else it will be kicked off.

Here we are extracting the data from a flat file and doing a lookup validation on Cust number. For this

we need to have a lookup table. In this case we are using a permanent table stg_load1.


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this is the permanent table that we are using for thelookup . Right click on this table and click on view data. Now you can see the actual data that is present

in the lookup table.

Click on the validation in the above job. You will get the below screen


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click on the customernumber in the schema in and under the validation rule tab, click on enable validation and click onExists in table. Now click on the down arrow and select the data store in which your lookup table existsand select the lookup table and then the customer number field to do a lookup


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Now we join the output pass to valid pass n fail to valid fail. Like this we are moving the pass records to

valid table and invalid records to fail table.

Execute the job to see the valid data moving to the valid table and invalid data to the invalid table.

Mandatory transformation is used to do a mandatory check on the data. This ensures that the validdata will not have null records. And the failed table will carry the null records. Generally we send the

failed records back to the client to ensure the data and take a sign off from the client.


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We are connecting the flat file to do a mandatory validation in the Query validate. Click on the validation

J Here click on the custnumand under the validation rule click on enable validation. Under condition select IS NOT NULL. Come

back and connect the valid tables output (fail to fail table and pa ss to pass table) to the tables.

Now execute to see the data in the output tables. The null values will go to the fail table and pass table

will have not null values.


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This is how we get the good data to move to the next stage of the project.

Format Validation is used to check the format of the data. Sometimes even to segregate good data we

does this format validation also.


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Click on the validation and open it. Select the cutnum and click on enable validation under the

validation rule tab. Now che ck custom condition and give length(cutnum)


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Now go back and save and execute the job to see that the data is validated based on the condition and

moved to the target tables (Fail and Pass).

Now click on the magnifying glass symbol on the target tables to check the data.


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This concludes the validation formats.

Documents

06 Validation Transformations