Powerhouse Data Source Parameters; Using Multiple Data Sources In Your Model - IBM Cognos User Manual

The named range for cells A1 .. D5 is DataTable.
Cognos Transformer reads rows 1 to 5 in the range DataTable. The Data Sources
list shows the Human Resources columns EMP_NO, NAME, DEPT, and SALARY.

PowerHouse Data Source Parameters

You can specify a PowerHouse portable subfile as the data source for a model.
Instead of using the PowerHouse dictionary values to set the Output scale and
Precision properties, columns generated from a portable subfile initially have these
attributes set to zero. To modify these attribute values, use the Format tab on the
Measure property sheet.
Cognos Transformer automatically interprets the following components of the
portable subfile dictionary.
Integer and float data from portable subfiles are represented by their .psd datatype
as follows:
v Integers stored as Portable Zoned in the subfile appear as signed, zero-filled
v Float data stored as Portable Float in the subfile appears in scientific notation.

Using Multiple Data Sources in Your Model

You can create more powerful views of your data by adding multiple data sources
to a single model, allowing you to combine disparate data sources into a single
PowerCube. In Cognos Transformer, you can model a single cube using any
combination of the supported data sources, giving you a unique view of your
business.
The advantages of multiple data sources include:
Row A
5 1290
Dictionary component
Element name
Element heading
Item datatype - character
Datatype - portable zoned
Datatype - portable float
Datatype - portable date
numbers.
For example, the number 16, stored in Portable Zoned Size 6 format, appears as
+00016.
For example, the number 812,333.65, stored in Portable Float format, appears as
+.8123336500000000000E+06.
B C
Power DESIGN
Model equivalent
Column original name
Column name; the PDL multiline character
(^) is replaced by a space character
Data class text and size
Data class: unspecified (default); Measure
type: 32-bit integer
Data class: unspecified (default); Measure
type: 64-bit floating point
Data class: date; date input format:
predefined
Chapter 3. Data Sources for Your Model
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