URGENT: What happend if I define the Time Dimension like a user dimension?

I define the Time Dimension like a user Dimension because in the time I don't need the quarter, so can I access my metadata from OLAP tools (BI Beans)?
PLEASE HELP.

Magini,
You can define time dimension as user dimension. It will work well. I have been defining time dimension as user dimension.
For simple arithmetic calculations and aggregations, there will be no problem.
However you will not be able to do time specific calculations.
I am using SUM as aggegation and Division, Ratio, Addition in calculated measures.
Hope this helps.
Subash

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LEVEL
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[38093] Most detailed table in the time dimension table source 'ERP_YEAR_MONTH' is not unique.

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the time key is incorrectly specified at the lowest level. In the 'ERP_YEAR_MONTH' table, have you correctly specified the primary key for the table?
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When you start with the wizard, it gives you the choice of a normal hierarchy based on year and/or quarter and/or month and/or day OR a week hierarchy, based on week and day. But I need a time dimension based on year, month, week and day. So I created a normal hierarchy time-dimension based on year, month and day and tried to alter it, by adding a week as an attribute (and level etc.).
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Ingmar,
I just read your post and I am trying to accomplish the same thing with the time dimension - can you help me or direct me to another post that can?
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Sorry for my delay to reply you, I had no time the lasts days...
To get the four distinct key from your time dimension, just add four instance of dimension table at interface each one joined with one of the columns.
I believe that you load your time dimension from some other table than PRJ_TBL_TRANSACTION because you have the HolidayType column in your time dimension...
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As this table will have no more than 6.200 records from the last 20 years it will be a small table where you shouldn't have performance problems.
These are some of possible solutions but I would like to add other "way to think".
By the table that you show here you have a simple time table with no special feature, for that, let me suggest you other way.
- in the current way you will join but didn't get the record that "fail" from the join once they will be exclude if a date do not exist at time dimension
My suggestion:
- Load the dimension time table from your source table
- as PK in time dimension table, use the ''Julian Day"
- At ODI target fact table (datastore), create a 4 reference constraints (one by column) to the time dimension
- at interface do not use the dimension as source and transform the 4 date to Julian and let the 4 constraints take care if they exists or not at dimension table.
OR
- Look for the minimum "possible" date at your company
- populate your time dimension with every each day since then until a future date (Dec 31, for instance)
- create a process to populate the future date that will be execute in a interval that you decide (once a year, once a month, as you wish) dependent on how further the date is populated
- use the "Julian date" as PK
- At interface just transform any date to "Julian Date" it will be at dimension time once it is naturally unique
You could substitute the Julian date for "YYYYMMDD" that is a unique value too.
I presented you 2 way to consider be considered, each one could be used based on how important is for the business know if a date was loaded or not.
Someone can question that has the dates loaded from source against has all dates previous loaded could help to find errors from days that wasn’t loaded but it has a failure. As there are 4 dates source columns (and we are talking just about one source table until now) if a date loaded math a date when the load failure there is no value in use the time dimension date to analyze this possibility.
I defend the full time dimension load.
Make sense and/or help you??

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They are not usiing work status for this...
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Kind Regards,
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Hi Omar,
Yes it is possible.
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URGENT: What happend if I define the Time Dimension like a user dimension?

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