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Suppose we have a (assume relational) source table
Product_Id Month Sales
1 Jan x
1 Feb x
. . .
. . .
1 Dec x
2 Jan x
2 Feb x
. . .
. . .
2 Dec x
3 Jan x
3 Feb x
. . .
. . .
3 Dec x
. . .
. . .
and so on. Assume that there could be any number
of product keys and for each product key the sales
figures (denoted by 'x' are stored for each of the
12 months from Jan to Dec). So we want the result
in the target table in the following form.
Product_id Jan Feb March.. Dec
1 x x x x
2 x x x x
3 x x x x
.
.
So how will you design the ETL mapping for this case ,
explain in temrs of transformations.
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Answer Posted / seekax
The reverse operation can be done using normalizer . . . To
carry out this process above mentioned we need to use
spliter in combination with joiner . . .
---- split using month -------- (into 12 sets of 2-columns)
1st SET 2nd SET
------- --------- . . . . .
product id,jan product id,jan
1,x 1,x
2,x 2,x
3,x 3,x
4,x 4,x . . . . . . .
---- join using product_id --------
Product_id Jan Feb March.. Dec
1 x x x x
2 x x x x
3 x x x x
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