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Hi Qlikers,
I have a data like below
Table1(available only last 12months data respected dates)
Id,
eventData,
ProcessDate,
comments,
Flag1
Table2(more than 12months data)
ID,
eventDate,
ProcessDate,
ratings,
Flag2,
....,
....;
In above tables associated by ID and created flags in each table to identify the table and number of months. when we create master calendar using above 2 common dates which come from table 1 and table 2, the Table 1 showing more than 12 months data.
1. the first problem is when we create master calendar using Table 2 which has more than 12months , when i click on Table1 flag, the months were showing more than 12months data(Table 1 should has only 12months respected dates)
@sunny_talwar - can you suggest any idea
-Could anybody help me out how we can create master calendar using above two dates which come from two different tables and which type of data model would give correct results
Thanks in Advance
The easiest way is usually just to concatenate the fact-tables and not to associate them with any linking - just give it a try.
- Marcus
Hi Marcus,
Thanks for the quick response
I have tried that technique, Its creating extra more number of millions records with null values, so the loading time is increasing.
Thanks,
That such table is in some degree asynchron which results in NULL for some fields in many records is often not a problem because these NULL's won't be stored - it only means that there are no values available.
Without any record-id's which are only very seldom useful within a final datamodel (during in evaluation/design process they may helpful to find any differences) the max. pointer for the data-table shouldn't significantly increase even if there are much more records included and therefore the run-times shouldn't be much longer especially not if not only the loadings are compared else also the efforts to calculate the datamodel.
Quite often there are also real benefits while the loading because no complex key is needed (you have at least two fields which needs to be combined) and you could apply simple dimension-tables and not any complex constructs mostly done with link-tables between the fact-tables on which the dimensions are linked.
Therefore I suggest not to discard the simplest solution too fast. I use this concept very often and not only because of it's easiness else because of the good performance in script and UI.
- Marcus
Thank you Marcus !!
This will help me to understand the data insights.