Table of Contents

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  1. Preface
  2. Components
  3. API collections
  4. Business services
  5. File listeners
  6. Fixed-width file formats
  7. Hierarchical schemas
  8. Intelligent structure models
  9. Refining intelligent structure models
  10. Mapplets
  11. Saved queries
  12. Shared sequences
  13. User-defined functions

Components

Components

Refining intelligent structure models

Refining intelligent structure models

After
Intelligent Structure Discovery
discovers the structure of the model input, you can refine the structure so that when you use the model in production the output meets your requirements.
For example, rename a node, add a prefix to file names, or define rows or columns in Microsoft Excel files as table headers.
Use the
Visual Model
and
Relational Output
tabs of the
Intelligent Structure Model
page to understand and refine the output.
On the
Visual Model
tab, you can see the output in a tree-like structure. The model shows the discovered types of data as nodes, and shows their relationship to each other in a graphical format. Use the
Visual Model
tab to trace how the input data is mapped to a node.
On the
Relational Output
tab, you can see the relational output that the
intelligent structure
produces. The output is organized in one or more output groups. An output group contains one or more nodes. Use the
Relational Output
tab to determine how a node is mapped to an output group.
When you refine the discovered structure, you can test the output that
Intelligent Structure Discovery
generates based on the model in different output formats. Repeat refining and testing the model until you are satisfied that it generates the required output.
The following image shows the process of discovering, refining, testing, and saving a model:
The image shows four elements that represent the stages of the process and the relationships between them. The first stage is to discover the structure, which leads to the second stage- testing the output. This stage leads to a decision point: is the output OK? If yes, the decision point leads directly to the last stage- saving the model. If not, the decision point leads to the third stage- refining the model. The process of testing the output and refining the model repeats until the output is OK, and then the decision point leads to the fourth and last stage- saving the model.

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