Table of Contents

  1. Preface
  2. Introduction to Informatica Edge Data Streaming
  3. Licenses
  4. Using Informatica Administrator
  5. Creating and Managing the Edge Data Streaming Service
  6. Edge Data Streaming Entity Types
  7. Edge Data Streaming Nodes
  8. Data Connections
  9. Working With Data Flows
  10. Managing the Edge Data Streaming Components
  11. Security
  12. High Availability
  13. Disaster Recovery
  14. Monitoring Edge Data Streaming Entities
  15. Troubleshooting
  16. Frequently Asked Questions
  17. Regular Expressions
  18. Command Line Program
  19. Configuring Edge Data Streaming to Work With a ZooKeeper Observer
  20. Glossary

User Guide

User Guide

Built-in Transformation Types

Add a transformation to a link to transform data. Use the built-in transformation types available in EDS for common transformation requirements.
The process of transformation in a data flow begins with the left-most transformation in the chain consuming the messages that the source service publishes. You can add a transformation to a link either on the source service or on the target service, or on an aggregator.
You can perform the following types of transformations in EDS:
  • Transformation on records. Data can have multiple records and records are separated by delimiter. When you apply a transformation on the source service, every record is transformed.
  • Transformations on events or chunks. An event or chunk has multiple records. When you apply transformation on the target service, the event or chunk is transformed.
You cannot perform a transformation on an event or chunk if you add the transformations on the source service.
You can configure transformations to accept messages from one source service and forward transformed messages to multiple target services. You can configure a transformation to accept data from multiple sources and forward transformed messages to one or more target services.
EDS includes the following transformations:
  • Compress Data
  • Decompress Data
  • Insert String
  • JavaScript
  • Regex Filter
  • Unstructured Data Parser


Updated March 19, 2019


Explore Informatica Network