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Overview

Get an overview of Informatica Data Quality Architecture and its services, functionalities.  

Pre-Requisites
  • Knowledge of the IDQ Platform and its suite of services. 
Self-Service Resources
IDQ Lifecycle
Data Quality and Profiling
Informatica Domain Overview
Feature Availability
Data Quality and related application Services
Informatica Data Quality (IDQ) Best Practices and Maintenance Activities
How to use LDAP Authentication in an Informatica Domain
How to Collect logs using platformlogcollector unix environment in IDQ
How to Identify Model Repository Service, Analyst Service, Data Integration Service from the list of Java processes and to get their corresponding PIDs
FAQ: How to Backup Profiling Warehouse, Reference Data Warehouse, Workflow Database & Exception Management Audit Database in Data Engineering Quality?
Goals
  • Understand the importance of Data Quality. 
  • Understand the Features of Informatica Data Quality 
  • Understand its features, and functionalities. 
Outcome
  • Understand overall process involved in configuration 
Required Roles/Personas
Required Roles/Personas
  • Architect 
  • Administrator 
  • Developer 
Actions
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Engagement Details
Catalog Type

Ask An Expert

Engagement Category

Feature Clarity

Products

Data Quality

Engagement Type

Ask An Expert

Adoption Stage

Configure

Implement

Focus Area

Adoption - Technical

Functional

Engagement ID

AAE-IDQ-007

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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