By : user2949971
Date : November 17 2020, 04:28 AM

Hope that helps MOLAP: Data is preprocessed and stored in cube. So whenever an MDX query runs, it picks up aggregated data directly from cube. The complexity of MDX has no effect on the relational source of data underneath. Bottom line: It is fast and independent of data source(once the cube is processed). code :
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What is the best way to model a ragged hierarchy in SSAS for both ROLAP and MOLAP?
By : Miklos Marinov
Date : March 29 2020, 07:55 AM
will help you Generally, "ragged hierarchy" is an immediate translation to "parentchild" for me. You'd want it to go like so: code :
ItemID ItemKey ParentID
1 Lvl01 null
2 Lvl11 1
3 Lvl21 2
4 Lvl22 2
5 Item1 3
6 Item2 3
7 Item3 4
8 Item4 1

Cube design  ROLAP considerations vs. MOLAP
By : user1564098
Date : March 29 2020, 07:55 AM
it helps some times I'm a Pentaho implementor in Indonesia. First, of course you should try to aggregate all your measures group by surrogate keys involved. And in Mondrian, you can "cache" some computations using additional aggregate tables. You can do it in Pentaho Aggregate Designer. But after that you will need additional work in your data warehouse / ETL stage.

Molap and Rolap
By : user1783401
Date : March 29 2020, 07:55 AM
Hope this helps MOLAP = Multidimensional Online Analytical Processing ROLAP = Relational Online Analytical Processing

64bit pointer arithmetic in C#, Check for arithmetic overflow changes behavior
By : user3176997
Date : March 29 2020, 07:55 AM
I hope this helps . It's a C# compiler bug ( filed on Connect). @Grant has shown that the MSIL generated by the C# compiler interprets the uint operand as signed. That's wrong according to the C# spec, here's the relevant section (18.5.6): code :
T* operator +(T* x, int y);
T* operator +(T* x, uint y);
T* operator +(T* x, long y);
T* operator +(T* x, ulong y);
T* operator +(int x, T* y);
T* operator +(uint x, T* y);
T* operator +(long x, T* y);
T* operator +(ulong x, T* y);
T* operator –(T* x, int y);
T* operator –(T* x, uint y);
T* operator –(T* x, long y);
T* operator –(T* x, ulong y);
long operator –(T* x, T* y);

Arithmetic overflow or other arithmetic exception occurred solution?
By : Benjamin Kljuno
Date : March 29 2020, 07:55 AM
hope this fix your issue I'm using db2, not sure what version. I'm getting an overflow error when trying to sum a table. I thought that I would be able to cast the sum to a BIGINT which seems to work for a sum total but I'm looking to get a percentage and when I cast to a BIGINT my data is inaccurate. How do I get an accurate percentage for Percent_DeliveredB/A? Converting the numerator and denominator to BIGINT and dividing for percentage is not giving me the correct results. , I was able to get the correct results converting to double. code :
SUM(CAST(FAT.ORDERS_B AS DOUBLE))/sum(CAST(FAT.Amount AS DOUBLE)) AS Percent_DeliveredB,



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