Informatica Data Quality

Informatica Data Quality (IDQ) Online Training

Informatica Data Quality is the data quality management system developed by Informatica Corporation. Informatica Data Quality is a suite of applications and components that you can integrate with Informatica PowerCenter to deliver enterprise-strength data quality capability in a wide range of scenarios.

Course Features

Real-time Use cases

24/7 Lifetime Support

Certification Based Curriculum

Flexible Schedules

One-on-one doubt clearing

Career path guidance

Learn & practice Course Concepts
Course Completion Certificate
Earn an employer-recognized Course Completion certificate by Ziventra.
Resume & LinkedIn Profile
Mock Interview
Qualify for in-demand job titles
Career support
Work Support

Informatica Data Quality (IDQ) Online Training Content

You will be exposed to the complete Informatica Data Quality (IDQ) Training course details in the below sections.

Topic-wise Content Distribution

Module 1: Introduction to Data Quality Management

Fundamentals of Data Quality
Key Concepts in Data Governance and Data Quality Frameworks
Importance of Data Quality in Business Processes

Module 2: Informatica IDQ Architecture and Components

Overview of Informatica IDQ Architecture
Understanding Data Profiling, Cleansing, and Data Integration Tools
Configuration and Setup of Informatica IDQ

Module 3: Data Profiling and Cleansing Techniques

Data Profiling Basics: Analyzing and Assessing Data Quality
Implementing Data Cleansing Rules and Standards
Customizing Data Profiling for Real-World Data

Module 4: Data Validation and Standardization

Techniques for Data Standardization
Validating and Correcting Data Quality Issues
Automation of Data Validation Processes in IDQ

Module 5: Data Integration and Mapping with Informatica

Data Integration Techniques in Informatica IDQ
Setting Up and Managing Data Mappings
Integrating Informatica IDQ with PowerCenter

Module 6: Monitoring and Reporting in Informatica IDQ

Monitoring Data Quality in Real-Time
Generating Data Quality Reports and Dashboards
Handling Errors and Data Quality Alerts

Module 7: Advanced Data Quality Concepts

Advanced Techniques in Data Quality Management
Real-Time Data Quality Monitoring and Management
Implementing Data Quality for Big Data Environments

Module 8: Certification Preparation and Career Support

Preparation for Informatica IDQ Certification Exam
Resume Building, Interview Tips, and Career Guidance
Job Opportunities and Roles in Data Quality Management

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Hands on Informatica Data Quality (IDQ) Projects

Our Informatica Data Quality (IDQ) Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.

Training Options

Choose your own comfortable learning experience.

On-Demand Training

Self-Paced Videos

30 hours of Training videos
Curated and delivered by industry experts
100% practical-oriented classes
Includes resources/materials
Latest version curriculum with covered
Get one year access to the LMS
Learn technology at your own pace
24×7 learner assistance
Certification guidance provided
Post sales support by our community

Live Online (Instructor-Led)

30 hrs of Remote Classes in Zoom/Google meet

2025 Batches

Weekdays / Weekends

+ Includes Self-Paced

- Live demonstration of the industry-ready skills.
- Virtual instructor-led training (VILT) classes.
- Real-time projects and certification guidance.

For Corporates

Empower your team with new skills to Enhance their performance and productivity.

Corporate Training

Customized course curriculum as per your team’s specific needs
Training delivery through self-Paced videos, live Instructor-led training through online, on-premise at Mindmajix or your office facility
Resources such as slides, demos, exercises, and answer keys included
Complete guidance on obtaining certification
Complete practical demonstration and discussions on industry use cases

Served 130+ Corporates

Our Training Prerequisites

Prerequisites for Informatica Data Quality Architect Online Training:

Basic Understanding of Databases
A solid understanding of relational databases, including SQL and database concepts like tables, schemas, and queries, will help you effectively work with data in Informatica IDQ.
Knowledge of Data Integration Tools (Optional)
Familiarity with data integration tools like Informatica PowerCenter or other ETL (Extract, Transform, Load) tools can be beneficial, though not mandatory.
Basic Knowledge of Data Warehousing Concepts
Understanding the fundamentals of data warehousing, such as data modeling, OLAP, OLTP, and ETL processes, will be helpful when learning how to apply data quality techniques in a data warehousing environment.
Experience with Data Profiling & Cleansing (Optional)
While not mandatory, any prior experience with data profiling and cleansing techniques will give you an advantage when learning Informatica IDQ’s data quality functionalities.
Familiarity with Data Governance (Optional)
An understanding of data governance principles, such as ensuring data quality, security, and compliance, can aid in grasping the advanced features of Informatica IDQ.
Basic Programming Knowledge (Optional)
Although not required, knowing basic programming concepts—especially in languages like Java or Python—will help when working with data transformations or automating quality tasks.