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Informatica Data Quality for Analysts 10.2x Course Overview

Informatica Data Quality for Analysts 10.2x Course Overview

The Informatica Data Quality for Analysts 10.2x course is a comprehensive training program designed for data analysts who aim to enhance their skills in data quality management. This course provides a deep dive into the tools and methodologies needed to ensure high data quality within an organization. It covers a range of topics from identifying data quality problems to managing reference tables and discovering data domains.

Learners will become proficient in navigating the Analyst Interface, creating and running profiling rules, scorecards, and collaborating effectively on projects. The course is structured into lessons and labs that facilitate hands-on experience, reinforcing the theoretical knowledge gained.

By completing this course, learners will be equipped with the ability to maintain data integrity, optimize data quality services, and execute a robust data quality management process. These skills are essential for any data professional looking to guarantee the reliability and effectiveness of their organization's data assets.

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  • Live Training (Duration : 16 Hours)
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Target Audience for Informatica Data Quality for Analysts 10.2x

The Informatica Data Quality for Analysts 10.2x course is designed for professionals involved in data management and quality improvement.


Job roles and audience for the course include:


  • Data Analysts
  • Business Analysts
  • Data Quality Specialists
  • Data Stewards
  • Data Governance Professionals
  • Informatica Developers
  • Business Intelligence Professionals
  • Data Management Consultants
  • IT Professionals working on data projects
  • Quality Assurance Engineers working with data
  • Project Managers overseeing data quality initiatives


Learning Objectives - What you will Learn in this Informatica Data Quality for Analysts 10.2x?

Introduction to Learning Outcomes and Concepts:

This course equips students with a comprehensive understanding of Informatica Data Quality (IDQ) for Analysts 10.2x, focusing on the management of data quality, profiling techniques, and collaboration strategies.

Learning Objectives and Outcomes:

  • Comprehend the common data quality problems and the importance of data quality services within an organization.
  • Understand the data quality management process to maintain accurate and consistent data.
  • Navigate effectively through the Analyst Interface of Informatica Data Quality.
  • Establish connections and manage projects within the Informatica Analyst tool.
  • Work with Analyst Objects and develop Mapping Specifications for data management.
  • Perform data profiling to analyze the content, structure, and quality of data.
  • Create and implement profiling rules and scorecards to assess data quality.
  • Manage and utilize Reference Tables for maintaining data standards.
  • Discover and define Data Domains using advanced data profiling techniques.
  • Develop and validate rule logic, test rules, and generate Rules Mapplets for data quality improvement.
  • Facilitate project collaboration with features like adding tags, comments, and ensuring effective communication between data analysts and developers.

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