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Hi,
I have 3 fact tables with 2 different Date type
| Date Fact 1 and 3 | Date Fact 2 | |
| 01.01.2000 | 2016 Q1 | |
| 01.01.2000 | 2016 Q2 | |
| 01.01.2020 | 2016 Q3 | |
| 30.01.2017 | 2016 Q4 | |
| 30.01.2000 | 2017 Q1 | |
31.01.2017 | 2017 Q2 | |
| 07.02.2000 | 2017 Q3 | |
| 28.02.2020 | 2017 | |
| 01.03.2000 | 2018 |
The user is asking to being able dynamically to filter the date by year then through a second filter by quarter.
I am looking for the best data model suitable for the case and the creation of Dimensions who could help me in achieving the user goal.
I wonder if i should create a DimDate with all dates day by day, year column and quarter column but the result would be in the case of Fact table 2 a many to many relationship or 2 Dimensions, year and Quarter, after extracting those from all fact tables and creating in each table the corresponding columns in order to relate them.
Thanks for your advice
Solved! Go to Solution.
The approach I take is to add a date column to the fact table. This allows you to create a relationship with DimDate.
To create a date column in the fact table, you can use any date in the period. I prefer to use the first date of the period since all months have day 1, but not all months have day 31. For example, "2016 Q1" would be 2016-01-01 (assuming your quarters are based on a calendar year).
Proud to be a Super User!
Many thanks for your advice.
The approach I take is to add a date column to the fact table. This allows you to create a relationship with DimDate.
To create a date column in the fact table, you can use any date in the period. I prefer to use the first date of the period since all months have day 1, but not all months have day 31. For example, "2016 Q1" would be 2016-01-01 (assuming your quarters are based on a calendar year).
Proud to be a Super User!
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