A model is a collection of metadata that includes physical information and business information for one or more data sources. (Have a quick glance at Define The Model In The Project)
There are 2 types of models defined in cognos10.1 BI
2)DMR model (Dimensionally modeled relational source)
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A multi dimensional analysis is a technique to modify the data so that users can view the data at different levels of details
The following are the multidimensional techniques
a)Drill down: It is a process of navigating the data from highest level to lowest level details. A user can view the detailed information.
b)Drill up: It is a process of browsing the data from lowest level to highest level. A user can view the summary data.
A regular dimension contains descriptive and business key information and organizes the information in a hierarchy from the highest level of granularity to the lowest
Each path in the balance hierarchy descends to the same depth.
Ex: The highest level is productline
2nd level is the productype
3rd level is the product
The branches in the unbalanced hierarchy descend to different levels.
Ex: The highest level in the organization is the CEO.
Level 2 is the vice president and CEO’s Executive Assistant.
The Vice Presidents have subordinates but Executive Assistants don’t have any subordinates.
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At least one path in the hierarchy skips at least one level.
Ex: Highest level could be continent
Level 2 is County
Level 3 is a city
Level 4 is street
A country such as Vatican city contains only streets no cities
A member of the hierarchy has more than one parent
Regular dimension— Hierarchy— Levels—- Attributes— Roles(Key,Caption)
It is defined as a collection of facts.
You can create a measure dimension for one or more query subjects that have a valid relationship between them.
Model measure dimensions should be composed of only quantitative items.
Ex: Key performance indicators like Sales, Net profit
A scope defines a relationship between the regular dimension and the measure dimension.
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