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Informatica Master Data Management (MDM) Course Overview

Informatica Master Data Management (MDM) Course Overview

The Informatica MDM training course is a comprehensive program designed to provide learners with a deep understanding of Master Data Management (MDM) and its critical role in data management across various industries. The course is structured into ten detailed modules that cover everything from the basics of MDM to advanced concepts in architecture, design, implementation, and deployment.

By participating in this training, learners will gain insights into the benefits and processes of MDM, learn about data quality, governance, modeling, and integration. They will also explore the necessary security and privacy measures to ensure compliance. The course emphasizes practical skills through lessons on MDM tools, best practices, case studies, and performance tuning.

Upon completion, students will be equipped with the knowledge to utilize Informatica MDM solutions effectively, ensuring that their organizations have consistent, accurate, and accountable data. This training is beneficial for data professionals looking to enhance their skills and organizations aiming to implement robust MDM strategies.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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4-Hour Sessions

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  • Live Online Training (Duration : 24 Hours)
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  • Guaranteed-to-Run (GTR)
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♱ Excluding VAT/GST

Classroom Training price is on request

  • Live Online Training (Duration : 24 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure that you can successfully undertake training in the Informatica Master Data Management (MDM) course, we recommend that you have the following minimum prerequisites:


  • Basic understanding of database concepts and familiarity with relational databases.
  • Knowledge of SQL (Structured Query Language) for querying databases.
  • An understanding of data warehousing and data management principles.
  • Awareness of the importance of data quality and data governance in an organization.
  • Some experience with data modeling and design concepts.
  • Basic knowledge of data integration and ETL (Extract, Transform, Load) processes.
  • Familiarity with information systems and enterprise software applications.
  • An interest in learning about master data management and its role in business.

While these are the minimum prerequisites, students with additional experience in IT or related fields may find it easier to grasp the advanced concepts discussed in the course. Our aim is to provide comprehensive training that accommodates learners from diverse backgrounds, and we encourage anyone with an interest in enhancing their understanding of MDM to enroll.


Target Audience for Informatica Master Data Management (MDM)

Koenig Solutions' Informatica MDM course equips professionals to manage and govern enterprise data effectively.


  • Data Architects and Modelers
  • Database Administrators (DBAs)
  • Data Integration Specialists
  • Master Data Management Consultants
  • Business Intelligence Professionals
  • Data Governance Specialists
  • Information Technology Managers
  • Data Quality Managers
  • Solution Architects
  • Compliance Officers
  • IT Project Managers
  • Data Scientists and Analysts
  • Data Stewards
  • Enterprise Architects
  • IT Security Professionals
  • Systems Integrators
  • Software Developers working on Data Management Solutions


Learning Objectives - What you will Learn in this Informatica Master Data Management (MDM)?

Course Learning Outcomes Introduction:

The Informatica MDM course equips learners with comprehensive knowledge and practical skills to manage and govern enterprise master data effectively, ensuring high data quality and consistency.

Learning Objectives and Outcomes:

  • Understand the core concepts and benefits of Master Data Management (MDM) and its role in enterprise data management.
  • Gain insight into MDM architecture, design principles, and best practices for successful implementation.
  • Develop the ability to establish and manage a robust Data Governance framework, ensuring data quality, security, and compliance.
  • Learn data modeling techniques specific to MDM and how to design models that cater to diverse business needs.
  • Master the processes of data integration, synchronization, and the use of MDM tools for efficient data management.
  • Comprehend the importance of data quality, learn methods to maintain it, and implement data quality management in MDM.
  • Acquire skills in securing master data, enforcing privacy policies, and adhering to regulatory compliance standards.
  • Become adept at deploying, maintaining, and optimizing MDM solutions to enhance performance and scalability.
  • Develop competencies in creating analytics and reports that provide insights and support decision-making using MDM data.
  • Study real-world case studies, learn to troubleshoot common issues, and explore advanced MDM topics for continuous learning and improvement.