why we are using level option in normalizer transformation
Answer / lokesh
If you want to see result in quarterly based with all other information like location, branch then we can go for normalizer transformation.
Your normalizer transformation looks like this for above example:
Field Level Occurs Description
Location 1 0
Branch 2 2 In each record we can see branch detail occurs two times
result 2 4 For each branch 4 times we can see quarter result, so in a record 4(occurs) X 2 (level) = 8 times
It automatically create input/output port depends on your level and occurs. Also generates some output key ports. You can see more detail on key port in help material.
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HOw can we load the normalised data ( Vertical data) to (Horizontal data)with out using decode in the expression transformation and the aggregator transformation. But, what exactly I want is .. If we have million of records,it is not possible using decode and search for that Particular Id to pivot into Horizontal data... Can any one of guys please help me in this regard.....
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