M:N relationships within a dimension: Standard process vs. BI Data model

Hi,
I just completed a review of the u201CMulti-Dimensional Modeling with BIu201D from this link:
https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/6ce7b0a4-0b01-0010-52ac-a6e813c35a84 and I have a quick question here:
On page 36 of this link, the author noted that
u201CAccording to the standard process, color should be in the master data table for material, like material type. But this is not possible because the material is the unique key of the master data table. We cannot have one material with multiple colors in the master data table.u201D
i.e. my understanding is that, based on Standard Process it is NOT possible to place two characteristics in M:N relationships in the SAME dimension but with BI Data Model, this, the author points out is possible
u201Cdue to the usage of surrogate keys (DIM-IDs) in the dimension tables allowing the same material several times in the dimension tableu201D i.e. although material is the unique key of the dimension.
1.
What is being referred here as u201CStandard Processu201D since document is on u201C u2026 modeling with BIu201D?
2.
It goes on to discuss u201CDesigning M:N relationships using a compound attributeu201C as a solution to the M:N relationship in a dimension.
What is the need to address this problem with compound attributes if characteristics in M:N relationships within a dimension, such as material and color, are not a problem in BI Data Model?
3.
Can you help explain the underlined cautions of the following guidelines for compound attributes (with examples if possible please):
u201CIf you can avoid compounding - do it!
Compound attributes always mean there is an overhead with respect to:
Reporting - you will always have to qualify the compound attributes within a query
Performance
Compounding always implies a heritage of source systems and just because it makes sense within the
source systems does not necessarily mean that it will also make sense in data warehousing.u201D
Thanks

Hi Amanda.......
In a dimension table, any number of semantically related dimension attributes are stored in a hierarchy (parent-child relationship as a 1:N relationship). If an M:N relationship exists between dimension attributes, they are normally stored in different dimension tables.
I checked the document.........
On page 36 of this link, the author noted that
u201CAccording to the standard process, color should be in the master data table for material, like material type. But this is not possible because the material is the unique key of the master data table. We cannot have one material with multiple colors in the master data table.u201D
1.
What is being referred here as u201CStandard Processu201D since document is on u201C u2026 modeling with BIu201D?
Here the first thing that I want to tell u is that............the diagram shown here is Classic Start Schema............since Extended Star Schema will never store Master data in Dimension tables.........it stores Masterdata in seperate Master data tables..........and nowadays..............Classic Star schema is obsolet.......Dimension table will only store Dimension id and SID......
Now the Standard process is that..........anything which is Describing a master data..........can be added as an Attribute of that master data.......
Suppose........Employee is the Masterdata.then Ph no can be one of the Attribute of this master data......
So this the Standard Process.........but this cannot be followed every time.........why........already explained.....
2.
It goes on to discuss u201CDesigning M:N relationships using a compound attributeu201C as a solution to the M:N relationship in a dimension.
What is the need to address this problem with compound attributes if characteristics in M:N relationships within a dimension, such as material and color, are not a problem in BI Data Model?
Bcoz ..........we use compounding Characteris tic to define the Master data uniquely.........and we load compounding Characteristic seoerately...which is independent of the Master data........ie......compounding Characteristic there is a seperate master data tables...........so ..........problem resolved......
3.
Can you help explain the underlined cautions of the following guidelines for compound attributes (with examples if possible please):
u201CIf you can avoid compounding - do it!
Compound attributes always mean there is an overhead with respect to:
Reporting - you will always have to qualify the compound attributes within a query
Performance
Compounding always implies a heritage of source systems and just because it makes sense within the
source systems does not necessarily mean that it will also make sense in data warehousing.u201D
For Compounding Characteristic............u hav to laod the Coumpoundede master data seperately..which is a overhead...........moreover while query execution......two tables will be accessd..which may result a performance issue.......Performance can be affected when compounded characteristics are used extensively, particularly when a large number of characteristics are included in a compounding. In most cases, the need to compound is discovered during data modeling.
Regards,
Debjani.........

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