Home / Courses / Informatica Data Quality Training

Informatica Data Quality Online Training

One of the top providers of online IT training worldwide is VISWA Online Trainings. To assist beginners and working professionals in achieving their career objectives and taking advantage of our best services, We provide a wide range of courses and online training.

Reviews 4.9 (4.6k+)
Rated 4.7 out of 5

Learners : 1080

Duration :  25 Days

About Course

🌐 Informatica Data Quality (IDQ) Online Training – Course Overview

The Informatica Data Quality (IDQ) Online Training program is designed to help learners master data profiling, cleansing, validation, and enrichment techniques using Informatica’s Data Quality tools. This course equips you with the skills to maintain accurate, consistent, and reliable data across enterprise systems — a critical requirement in modern data-driven organizations.

Participants will gain hands-on experience in building data quality rules, managing scorecards, creating mappings, and implementing data governance frameworks. You’ll learn how to identify data anomalies, automate cleansing processes, and integrate IDQ with Informatica PowerCenter and other platforms.

This course is ideal for Data Quality Analysts, Data Engineers, ETL Developers, and BI Professionals aiming to enhance their expertise in data management and governance.

💡 Key Skills You’ll Learn

  • Data profiling and quality assessment
  • Rule specification and validation techniques
  • Data standardization, cleansing, and transformation
  • Implementing address validation and data enrichment
  • Integration with Informatica PowerCenter and MDM
  • Data Quality scorecards, workflows, and dashboards
  • Best practices in data governance and auditing

🎓 Certification Tracks

  • Informatica Certified Data Quality Developer
  • Informatica Data Governance Certification
  • Certified Data Management Professional

Informatica Data Quality Training Course Syllabus

Working with Informatica Developer 9
  •  GUI, Mappings, Mapplets, Transformations, Content Sets, Data Objects
 
Analyst Collaboration
  • Reviewing information from the Analyst
  • Comments/Tags
  • Creating/adding to Reference tables
Developer Profiling
  • Join Analysis Profiling
  • Column Profiling
  • Multi-Object Profiling
  • Mappings and transformations
  • Mid-stream profiling
  • Comparative profiling
  • Scorecard creation and automation
Data Standardization in Informatica Data Quality
  • Cleanse, transform and parse data
  • Develop data standardization mapplets and mappings
Address Validation
  •  Reusable AV Transformation
  • AV Transformation Properties
  • AV Inputs and Outputs
  • Reusable AV Mapplet
Matching in Informatica Data Quality
  •  Grouping data
  •  Analyze Detail Report
  •  DQ Matching
  • Cluster Analysis Report
  • Matching Mapplets
Consolidation
  • Associate and Consolidate data

Data Quality Assistant
  • Build Mappings to create and populate the DQA tables
  • Perform manual Consolidation and Bad Record Management
PowerCenter Integration
  • Run DQ Mappings in PowerCenter
Object Import/Export
  • Import Projects using both Basic and Advanced methods
  • Export Projects
Parameters in Informatica Data Quality
  • How to use Parameters in Data Quality mappings, transformations, and reference tables
Content
  • What content is available with IDQ9?
  • Content Management Service
  • Accelerators
  • Core Accelerator
Project
  • Use all that has been covered and apply it to Product Data
Informatica Data Quality Course Key Features

Course completion certificate

Informatica Data Quality Training - Upcoming Batches

Coming Soon

AM IST

Weekday

Coming Soon

AM IST

Weekday

Coming Soon

PM IST

Weekend

Coming Soon

PM IST

Weekend

Don't find suitable time ?

Request More Information

CHOOSE YOUR OWN COMFORTABLE LEARNING EXPERIENCE

Live Virtual Training

PREFERRED

Self-Paced Learning

Corporate Training

FOR BUSINESS

Informatica Data Quality Online Training FAQ'S

What is Informatica Data Quality (IDQ)?

Informatica Data Quality is a suite of tools used to profile, cleanse, and standardize data to ensure consistency, accuracy, and compliance across enterprise systems.

What is the difference between Informatica PowerCenter and Informatica Data Quality?

PowerCenter focuses on data integration and ETL, while Informatica Data Quality focuses on data quality — profiling, cleansing, and governance.

What are data quality dimensions?

Data quality dimensions include accuracy, completeness, consistency, timeliness, uniqueness, and validity.

How does Informatica Data Quality integrate with Informatica MDM?
  • Informatica Data Quality integrates with MDM to cleanse and validate master data before it is consolidated and published across systems.

What are scorecards in Informatica Data Quality?

Scorecards in Informatica Data Quality visually represent data quality metrics, allowing organizations to monitor and improve data standards over time.

Reviews

More Courses You Might Like

No posts found!