Table of Contents


  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. Connections
  17. Data Type Reference
  18. Function Reference

Intelligent Structure Discovery Process

Intelligent Structure Discovery

You can create a CLAIRE™
intelligent structure model
Intelligent Structure Discovery
Intelligent Structure Discovery
is a service in
Data Integration
When you provide a sample file,
Intelligent Structure Discovery
determines the underlying structure of the information and creates a model of the structure. After you create an
intelligent structure model
you can view, edit, and refine it. For example, you can select to exclude or combine structure elements. You can normalize repeating groups.
When you finish refining the model, you can export it and then associate it with a data object in a Big Data Management mapping.
The following image shows the process by which Intelligent Structure Discovery deciphers the underlying patterns of data and creates a model of the data patterns:
This image shows unstuctured or structured data being deciphered by Intelligent Structure Discovery, which creates a model of the data.
You can create models for semi-structured data from Microsoft Excel, Microsoft Word tables, PDF forms, and CSV files, or unstructured text files. You can also create models for structured data such as XML and JSON files.
You can quickly model data for files whose structure is very difficult, time consuming, and costly to find, such as log files, clickstreams, customer web access, error text files, or other internet, sensor, or device data that does not follow industry standards.

Updated January 20, 2020