Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Connections
  4. Mappings in the Hadoop Environment
  5. Mapping Objects in the Hadoop Environment
  6. Processing Hierarchical Data on the Spark Engine
  7. Stateful Computing on the Spark Engine
  8. Monitoring Mappings in the Hadoop Environment
  9. Mappings in the Native Environment
  10. Profiles
  11. Native Environment Optimization
  12. Data Type Reference
  13. Complex File Data Object Properties
  14. Function Reference
  15. Parameter Reference

Social Media Mappings

Social Media Mappings

Create mappings to read social media data from sources such as Facebook and LinkedIn.
You can extract social media data and load them to a target in the native environment only. You can choose to parse this data or use the data for data mining and analysis.
To process or analyze the data in Hadoop, you must first move the data to a relational or flat file target and then run the mapping in the Hadoop cluster.
You can use the following Informatica adapters in the Developer tool:
  • PowerExchange for DataSift
  • PowerExchange for Facebook
  • PowerExchange for LinkedIn
  • PowerExchange for Twitter
  • PowerExchange for Web Content-Kapow Katalyst
Review the respective PowerExchange adapter documentation for more information.


Updated November 09, 2018