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 / janet
Simple SQL logic in the source qualifier sql will take care
of this issue.
Select product_id, month, sum(sales)
from source_table
group by product_id, month;
Then you can just pass the values straight through. No
need to split, aggregate, and join, etc.
| Is This Answer Correct ? | 4 Yes | 8 No |
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