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1)can anyone explain how to use Normalizer transformation
for the following scenario
Source table | Target Table
|
Std_name ENG MAT ART | Subject Ramesh Himesh Mahesh
Ramesh 68 82 78 | ENG 68 73 81
Himesh 73 87 89 | MAT 82 87 79
Mahesh 81 79 64 | ART 78 89 64
|
please explain what should be
the normalizer column(s)
The GCID column
2)Also please explain the Ni-or-1 rule.
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Answer / ramesh
Hi,
actually normalizer tr act as a datapivoting.
datapivoting sense to generate the multiple records from a single record.
| Is This Answer Correct ? | 26 Yes | 2 No |
Answer / karthik
Normalizer transformation mainly used for changing the multiple record into a slngle row.
where as in this transformation rows converted into columns and columns to rows.
for more understanding.....
source table target table
eng mat | A B C D E F G
A 88 90 |
B 11 22 | ENG 88 11 44 77 88 88 96
C 44 85 | MAT 90 22 85 85 66 88 69
D 77 85 |
E 88 66
F 88 88
G 96 69
MOSTLY WE CANT USE THIS TRANSFORMATION IN THE PROJECTS
| Is This Answer Correct ? | 5 Yes | 0 No |
Answer / sri
It is useful in combining all the multiple columns in to a
single column and viceversa.
Let me know if this is wrong.....!
| Is This Answer Correct ? | 1 Yes | 1 No |
Answer / murthy
I'm not expert , actually i'm a new commer on datastage
i think this problem can be achieved by using pivot stage
because it converts the multiple columns data format in to
the multiple rows format, so i think it will be useful for u
thanks
murthy
| Is This Answer Correct ? | 0 Yes | 1 No |
Hi,
according to my idea, take 3 different groups in the
normalizer transformation like....
1. stud_id studname
------- --------
1 Ramesh
2 Himesh
3 Mahesh
2. Sub_id Subname
------- -------
10 ENG
20 MAT
30 ART
3. sub_id stud_id marks
------ ------- -----
1 10 68
1 20 82
1 30 78
2 10 73
2 20 87
2 30 89
3 10 81
3 20 79
3 30 64
make sure that all these 3 groups have proper relationship
with each other.
finally map the appropriate fields to the target.
I'm not exactly sure about this answer but i would be
thankfull for any suggestions.
have a nice day. Kishore.
| Is This Answer Correct ? | 9 Yes | 12 No |
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