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Dear All,
I have two tables:
FACT TABLE
| Item | Colour | Size | Value |
| 1 | 5 | 9 | € 4.385 |
| 1 | 6 | 10 | € 3.160 |
| 2 | 5 | 9 | € 3.622 |
| 2 | 6 | 10 | € 9.085 |
| 2 | 7 | 11 | € 5.169 |
| 3 | 8 | 11 | € 9.695 |
| 4 | 6 | 9 | € 6.620 |
| 4 | 8 | 10 | € 4.355 |
TEXT TABLE
| ID | Value |
| 1 | Ring |
| 2 | Bracelet |
| 3 | Crown |
| 4 | Necklace |
| 5 | Yellow |
| 6 | Green |
| 7 | Blue |
| 8 | Black |
| 9 | Small |
| 10 | Medium |
| 11 | Large |
My desired result is the following:
NEW FACT TABLE
| Item | Colour | Size | Value |
| Ring | Yellow | Small | € 4.385 |
| Ring | Green | Medium | € 3.160 |
| Bracelet | Yellow | Small | € 3.622 |
| Bracelet | Green | Medium | € 9.085 |
| Bracelet | Blue | Large | € 5.169 |
| Crown | Black | Large | € 9.695 |
| Necklace | Green | Small | € 6.620 |
| Necklace | Black | Medium | € 4.355 |
I don't think I can manage this through relationships because it is admitted only one relationship between tables. Is merging of queries one for each column the only solution?
Thank you
gianmarco
Solved! Go to Solution.
Dear @Ahmedx , I hope i didn't have to use merge queries each for every column. This is a sample dataset but actually my fact table consists of 30 columns. I thought there could be a more effective solution.
You can achieve it both ways. With relationships (that catalog table will have a 1 to many relationship to the fact table, using the ID column) or using Merge queries within Power Query.
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