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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
  • Basic Knowledge of Enterprise Data Catalog 
  • Access to the EDC URLs 
  • Required permissions and metadata, data access to discover the data for the corresponding source system. 
  • Administrator access to check on the Service properties from the admin console 
Self-Service Resources
Data Discovery
Enable Data Discovery
DIS tuning parameters for EDC profiling
How to Tune the Heap Size of DIS for Profiling jobs from Informatica EDC
Optimizing performance of Data Profiling jobs run from Informatica EDC Native mode
Optimizing performance of Data Profiling jobs run from Informatica EDC Blaze mode
How to Improve performance for huge profiling jobs in EDC
Profiling configuration recommendations
Extracting profiling results using REST API
Data Domain Discovery in EDC
Data Domain Discovery
Reusable configuration for Data discovery in EDC
How to Configure Data Discovery in EDC
Data Discovery with EDC 10.5
Data Discovery in Enterprise Data Catalog
Viewing Profiling Results - EDC Data Profiling
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
  • Architect
  • Developer
  • Data Analyst
  • Data Steward 
Actions
Request Expert Assistance
Request Expert Assistance
Add to Favorites
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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