Description
Get an overview of Informatica Data Quality Profiling functionality here. Informatica Data Quality Profile is to learn how we can use profile to analyze the content and structure of data sources and how we can determine the characteristics of source data in columns, such as value frequency, percentages, and patterns.
Customer Pre-Requisites
- Knowledge of the IDQ Platform and its suite of services.
Self-Service Resources
Goals
- Understand the importance of Data Quality Profiling.
- Understand the Features and functionalities of Informatica Data Quality Profiling
Business/Technical Outcomes
- Understand overall process involved in implementing Informatica Data Quality profiles to analyze the content and structure of enterprise data, identify the quality issues and create rules and define targets to improve the quality.
- Architect
- Administrator
- Developer
Actions
Add to Favorites
Engagement Details
Catalog Type
Ask An Expert
Engagement Category
Feature Clarity
Products
Data Quality
Engagement Type
Ask An Expert
Adoption Stage
Design
Implement
Focus Area
Adoption - Technical
Functional
Engagement ID
AAE-IDQ-010
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.