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  1. Preface
  2. Introduction to Test Data Management
  3. Test Data Manager
  4. Projects
  5. Policies
  6. Data Discovery
  7. Creating a Data Subset
  8. Performing a Data Masking Operation
  9. Data Masking Techniques and Parameters
  10. Data Generation
  11. Data Generation Techniques and Parameters
  12. Working with Test Data Warehouse
  13. Analyzing Test Data with Data Coverage
  14. Plans and Workflows
  15. Monitor
  16. Reports
  17. ilmcmd
  18. tdwcmd
  19. tdwquery
  20. Data Type Reference
  21. Data Type Reference for Test Data Warehouse
  22. Data Type Reference for Hadoop
  23. Glossary

Creating a Data Coverage Column Using Data As Is

Creating a Data Coverage Column Using Data As Is

Create a column using data values as is to analyze the data coverage for individual data values.
Review the list of data type exceptions before you create a data coverage column.
  1. Open the data coverage page.
  2. To add a column that you want to plot on the graph, click the
    Add
    button on the
    Columns
    pane.
    The
    Add Column
    window opens.
  3. From the list of tables, select the table that contains the column.
  4. From the list of columns, select the source data column to which this column refers.
    The column data appears in the
    Data Preview
    pane.
  5. Enter an alias name for the column.
    Column aliases must be unique within a task.
  6. Select the
    Use as is
    type.
    The data from the preview tab is added to the
    Value
    tab.
  7. Optional. You can edit the data in the
    Value
    tab. Click the
    Reset
    button to replace the edited data with data from the preview pane. Click the
    Add
    or
    Remove
    button to add or delete individual values.
  8. Click
    OK
    .