Sampling Results option gives you the ability to import your class assignments after you have assigned a fingerprint to your class. The class
assignments are based on confidence values calculated using threshold recognition algorithms to determine the similarity of
Import Type, you need to provide your workspace information (machine ID and company) and
Content Threshold values. If desired, you can select other data store information to further restrict the class assignments. Select
Import to assign classes to the data elements that have a fingerprint that matches the prototype fingerprint to the degree specified
Content Threshold values.
For both the Distributed Systems and z/OS solutions, the
Import Class window is the similar when
Sampling Results is selected. However, it is only appropriate to import your classes in this way if your data stores are distributed (it works
both with DB2 on MVS knowledge base and with XDB knowledge base).
Here is a summary of the parameters used by this function:
- Machine ID - Identifier of the machine containing the data stores where Import Class process will work.
- Company - Identifier of the company containing the data stores where Import Class process will work.
- Data Store Qualification - With this set of selection parameters, it is possible to specify the scope of the class assignment process (which data stores
you want to assign to the specified class).
- Selected class - By using the
Add botton it is possible to select one or more classes for the assignment process. This mean the process will attempt the assignation
of the selected class or classes.
- Super Classes - Selects a super class. This mean the process will attempt the assignment of the selected superclass.
- Thresholds - Logical operations between
Treshold2. Data Express calculates two distinct formulas in order to understand how the processed column data distribution fits with
the one of the prototype (by comparing compressed sampling result). Each one of the two formulas returns a number in the range
0-100, that is as higher as the two distributions are similar. By setting the two thresholds, and by setting the and/or parameter,
it is possible to guide Data Express in the class assignment based on comparison between prototype and column to be assigned.
If you are working with z/OS data stores and a mainframe KB, you must schedule a series of jobs to perform the sampling functionality
for you. For instance, you would schedule the job
Data Store Data Element Sampling to select the sampling configuration, schedule the job
Class Data Element Assignment to suggest class assignments, and then confirm the class assignments in the
Work with Data Elements window of Data Builder.
For more information about assigning classes for your z/OS data stores, see section
Data Analysis of chapter
Project Implementation in the
Process for z/OS Guide
For more information about importing classes by sampling results for distributed data stores, see the
Simple Sampling exercise in this guide.