Overview

Data profiling is the process of reviewing source data, understanding structure, content, and interrelationships, and identifying potential for data projects 
When you enable data discovery for a resource and scan the resource, the Enterprise Data Catalog identifies profiling-related metadata, such as null values, distinct values, inferred data types, unique keys, and data domains in the resource. 
When you create a resource, choose the Metadata Load Settings > Data Discovery > Enable Data Discovery option to discover profiling-related metadata and unique keys. Based on your requirements, you can configure domain connection settings, basic profile settings, unique key inference settings, and column similarity settings.

Pre-Requisites
Self-Service Resources
Goals
  • Understand the concept of Data Discovery (Profiling) in EDC. 
  • Understand the configuration of Data Discovery  
  • Understand the prerequisites and permissions 
  • Understanding how to check on the Profiling results 
Outcome
  • Comprehend the overall process involved in configuring the data discovery and viewing the results 
Required Roles/Personas
Actions
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Engagement Details
Catalog Type

Ask An Expert

Engagement Category

Best Practices

Products

Enterprise Data Catalog

Engagement Type

Ask An Expert

Adoption Stage

Configure

Implement

Optimize

Focus Area

Adoption - Technical

Functional

Engagement ID

AAE-EDC-012

Disclaimer

  • All the topics covered in the Success Accelerators/Ask An Expert sessions are intended for guidance and advisory only. This is implicit and it will not be called out under the scope of each engagement.
  • Customers need to include their relevant technical/business team members highlighted in each engagement topic to derive the best out of each engagement.
  • Customers need to perform any hands-on work by themselves leveraging the guidance from these engagements.
  • Customers need to work with Informatica Global Customer Support for any product bugs/issues and troubleshooting.

Success

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