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
  • Common Content for Data Engineering 10.2.2
  • All Products

Table of Contents

Search

  1. Preface
  2. Mappings
  3. Mapplets
  4. Mapping Parameters
  5. Where to Assign Parameters
  6. Mapping Outputs
  7. Generate a Mapping from an SQL Query
  8. Dynamic Mappings
  9. How to Develop and Run a Dynamic Mapping
  10. Dynamic Mapping Use Cases
  11. Mapping Administration
  12. Import From PowerCenter
  13. Performance Tuning
  14. Pushdown Optimization
  15. Partitioned Mappings
  16. Developer Tool Naming Conventions

Developer Mapping Guide

Developer Mapping Guide

Back Next

Mappings Overview

Mappings Overview

A mapping is a set of input and output objects that represent the data flow between sources and targets. They are linked by transformation objects that define the rules for data transformation. The Data Integration Service uses the instructions configured in the mapping to read, transform, and write data.
You can run a mapping from a workflow so that you can run multiple mappings sequentially. Or, you can develop a workflow that runs commands to perform steps before and after a mapping runs. You can include a mapping with physical data objects as the input and output in a mapping task in a workflow.
The type of input and output object you include in a mapping determines the type of mapping. You can create the following types of mappings in the Developer tool:
Logical data object mapping
Links a logical data object to one or more physical data objects. A logical data object mapping helps you to integrate data from multiple sources and formats into a standardized view.
Operation mapping
Has an operation as the mapping input, output, or both. An operation mapping performs the web service operation for the web service client.
Virtual table mapping
Has a virtual table as the mapping output. A virtual table mapping defines the virtual data flow between sources and a virtual table in an SQL data service. Use a virtual table mapping to transform the data.
Dynamic mapping
A mapping in which you can change the sources, targets, and transformation logic at run time based on parameters and rules that you define. Use a dynamic mapping to manage frequent schema or metadata changes.
The following image shows an example of a mapping:
A mapping can contain physical data objects as inputs and outputs and represents the data flow between sources and targets. It can also contain transformations. You can also perform actions, such as validating and running the mapping or include the mapping in a workflow.
0 COMMENTS
We’d like to hear from you!