Communities
A collaborative platform to connect and grow with like-minded Informaticans across the globe
Product Communities
Connect and collaborate with Informatica experts and champions
Discussions
Have a question? Start a Discussion and get immediate answers you are looking for
User Groups
Customer-organized groups that meet online and in-person. Join today to network, share ideas, and get tips on how to get the most out of Informatica
Get Started
Community Guidelines
Knowledge Center
Troubleshooting documents, product guides, how to videos, best practices, and more
Knowledge Base
One-stop self-service portal for solutions, FAQs, Whitepapers, How Tos, Videos, and more
Support TV
Video channel for step-by-step instructions to use our products, best practices, troubleshooting tips, and much more
Documentation
Information library of the latest product documents
Velocity (Best Practices)
Best practices and use cases from the Implementation team
Learn
Rich resources to help you leverage full capabilities of our products
Trainings
Role-based training programs for the best ROI
Certifications
Get certified on Informatica products. Free, Foundation, or Professional
Product Learning Paths
Free and unlimited modules based on your expertise level and journey
Resources
Library of content to help you leverage the best of Informatica products
Tech Tuesdays Webinars
Most popular webinars on product architecture, best practices, and more
Product Availability Matrix
Product Availability Matrix statements of Informatica products
SupportFlash
Monthly support newsletter
Support Documents
Informatica Support Guide and Statements, Quick Start Guides, and Cloud Product Description Schedule
Product Lifecycle
End of Life statements of Informatica products
Ideas
Events
Change Request Tracking
Marketplace
English
  • Data Integration
  • All Products

Table of Contents

Search

  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. B2B transformation
  7. Aggregator transformation
  8. Cleanse transformation
  9. Data Masking transformation
  10. Data Services transformation
  11. Deduplicate transformation
  12. Expression transformation
  13. Filter transformation
  14. Hierarchy Builder transformation
  15. Hierarchy Parser transformation
  16. Hierarchy Processor transformation
  17. Input transformation
  18. Java transformation
  19. Java transformation API reference
  20. Joiner transformation
  21. Labeler transformation
  22. Lookup transformation
  23. Machine Learning transformation
  24. Mapplet transformation
  25. Normalizer transformation
  26. Output transformation
  27. Parse transformation
  28. Python transformation
  29. Rank transformation
  30. Router transformation
  31. Rule Specification transformation
  32. Sequence Generator transformation
  33. Sorter transformation
  34. SQL transformation
  35. Structure Parser transformation
  36. Transaction Control transformation
  37. Union transformation
  38. Velocity transformation
  39. Verifier transformation
  40. Web Services transformation

Transformations

Transformations

Back Next

Configuring a Target transformation

Configuring a Target transformation

You can use an existing target or create a target to hold the results of a mapping. If you choose to create the target, the Secure Agent creates the target when you run the task.
  1. Select the Target transformation in the mapping.
  2. On the
    General
     tab, enter a target name and optional description
  3. On the
    Incoming Fields
     tab, configure field rules that specify the fields to include in the target
    For more information about field rules, see Field rules.
  4. On the
    Target
     tab, select the target connection and specify the target type, for example,
    Single Object
     or
    Parameter
    .
    For mappings in SQL ELT mode, you select the target connection in the mapping properties.
    The option to select multiple objects is available for NetSuite connections only.
  5. To use an input parameter for the target object, select an existing parameter, or click
    New Parameter
     and create a new parameter for the target object.
  6. To use an existing target object, either enter the object name or click
    Select
     and select the target object.
  7. To create a new target object, perform the following steps:
    1. Click
      Select
      .
    2. In the
      Target Object
       dialog box, select
      Create New at Runtime
      :
      The image shows the Target Object dialog box for a flat file target. The "Create New at Runtime" option is selected and the "Use a Dynamic File Name" check box is not checked. Because a dynamic file name is not selected, the Static File Name field appears at the bottom of the dialog box. The name "MyTarget.csv" is entered in the Static File Name field.
    3. For flat file targets, enter the name of the target file including the extension, for example,
      Accounts.csv
      .
      If you want the file name to include a time stamp, select
      Handle Special Characters
       and add special characters to the file name, for example,
      Accounts_%d%m%y%T.csv
      .
      If you want to use a dynamic file name, select
      Use a Dynamic File Name
       and configure the file name expression.
      If you're using a fixed-width flat file format that uses the Decimal or Double data type with precision and scale, and you don't want the data to be rounded in the target file, select
      Skip rounding decimal and double data types
      .
    4. For relational targets, enter the table name.
    5. For cloud data warehouse targets, optionally choose to use exact field names in the new target object, enter the object name, and enter other properties such as the table location, table type, and path, if required.
      For more information about the target properties for different connection types, see the help for the appropriate connector.
    6. Click
      OK
      .
  8. To configure formatting options for flat file targets, click
    Formatting Options
    , and configure the formatting options such as the delimiter character and text qualifier.
  9. For relational targets, select the target operation and related properties such as whether to truncate the table for Insert operations.
    If you create a relational target at run time, the target operation is always Insert.
  10. Specify advanced properties for the target, if required.
    Advanced properties vary based on the connection type. For information about connector properties, see the help for the appropriate connector.
  11. Configure the target fields on the
    Target Fields
     tab.
    You can edit field names and metadata, add fields, and delete unnecessary fields.
    You can't edit field metadata in mappings in SQL ELT mode.
    If you create the target at run time, you can't configure target fields.
  12. Map incoming fields to target fields on the
    Field Mapping
     tab.
    If you create the target at run time, fields are mapped automatically.
    For more information about field mapping, see Target transformation field mappings.
0 COMMENTS
We’d like to hear from you!