Table of Contents

Search

  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings
  4. Sources
  5. Targets
  6. Transformations
  7. Data Preview
  8. Cluster Workflows
  9. Profiles
  10. Monitoring
  11. Hierarchical Data Processing
  12. Hierarchical Data Processing Configuration
  13. Hierarchical Data Processing with Schema Changes
  14. Intelligent Structure Models
  15. Stateful Computing
  16. Appendix A: Connections
  17. Appendix B: Data Type Reference
  18. Appendix C: Function 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.

0 COMMENTS

We’d like to hear from you!