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Infomatica Master Data Management (MDM) Training

  • 4.9(11,826 Rating)

Course Overview

The Informatica Master Data Management (MDM) Training is an advanced, enterprise-focused program designed to help professionals create a single, trusted, and consistent view of critical business data across complex systems. As organizations increasingly rely on data-driven decision-making, managing master data accurately has become a strategic requirement.

This course provides comprehensive coverage of Informatica MDM architecture, data modeling, match and merge processes, data governance, hierarchy management, and data quality integration. Participants will learn how to design and implement MDM solutions that eliminate data duplication, improve data accuracy, and ensure compliance with enterprise data governance standards.

The training emphasizes real-world implementation scenarios, enabling learners to configure Informatica MDM hubs, manage relationships, define survivorship rules, and integrate MDM with enterprise applications. By the end of the course, participants will be equipped to build, deploy, and maintain scalable Informatica MDM solutions in production environments.

Course Objectives:

  • Understand Informatica MDM concepts, architecture, and core components
  • Design master data models for domains such as customer, product, and supplier
  • Configure match and merge rules to eliminate duplicate records
  • Implement survivorship and trust scoring rules for data accuracy
  • Manage hierarchies and relationships within master data
  • Integrate Informatica MDM with Data Quality and source systems
  • Implement data governance and stewardship workflows
  • Monitor and manage MDM processes in enterprise environments
  • Ensure data consistency, compliance, and reliability across systems
  • Support business intelligence and analytics with trusted master data

Target Audiance

  • This course is ideal for data engineers, data architects, MDM developers, ETL developers, data governance professionals, BI analysts, and enterprise IT professionals. It is also suitable for professionals involved in data quality, data integration, and enterprise data management initiatives.

Schedule Dates

18 May 2026 - 21 May 2026
Infomatica Master Data Management (MDM)
24 August 2026 - 27 August 2026
Infomatica Master Data Management (MDM)
30 November 2026 - 03 December 2026
Infomatica Master Data Management (MDM)
08 March 2027 - 11 March 2027
Infomatica Master Data Management (MDM)

Course Content

  • Overview of Master Data Management
  • Benefits of Master Data Management
  • Master Data Management Architecture
  • Master Data Management Processes
  • Data Quality and Governance
  • Data Modeling and Design
  • Data Integration and Synchronization
  • Data Security and Privacy
  • Master Data Management Tools
  • Master Data Management Best Practices

  • Introduction to Data Governance
  • Data Governance Best Practices
  • Data Governance Frameworks
  • Data Quality Management
  • Data Stewardship
  • Data Security and Privacy
  • Metadata Management
  • Master Data Management (MDM) Overview
  • MDM Architecture and Design
  • MDM Data Modeling
  • MDM Data Integration
  • MDM Data Quality
  • MDM Data Governance
  • MDM Data Security
  • MDM Data Synchronization
  • MDM Data Lifecycle Management
  • MDM Data Analytics
  • MDM Performance Tuning
  • MDM Deployment and Maintenance
  • MDM Troubleshooting and Support

  • Introduction to Data Quality and MDM
  • Data Quality and MDM Best Practices
  • Data Quality and MDM Governance
  • Data Quality and MDM Metrics
  • Data Quality and MDM Tools
  • Data Quality and MDM Processes
  • Data Quality and MDM Strategies
  • Data Quality and MDM Techniques
  • Data Quality and MDM Standards
  • Data Quality and MDM Automation

  • Overview of MDM Architecture and Design
  • Data Modeling for MDM
  • Data Quality and Governance in MDM
  • Data Integration for MDM
  • Security and Access Control in MDM
  • Performance Tuning for MDM
  • Deployment and Maintenance of MDM
  • Troubleshooting and Best Practices for MDM
  • Advanced Topics in MDM Architecture and Design

  • Overview of MDM Implementation and Deployment
  • Planning for MDM Implementation and Deployment
  • Designing the MDM Architecture
  • Configuring the MDM Environment
  • Integrating MDM with Other Systems
  • Testing and Validating the MDM Environment
  • Deploying the MDM Solution
  • Managing the MDM Environment
  • Troubleshooting MDM Issues
  • Best Practices for MDM Implementation and Deployment

  • Overview of MDM Security and Compliance
  • Understanding MDM Security and Compliance Requirements
  • Implementing MDM Security and Compliance
  • Managing MDM Security and Compliance
  • Auditing MDM Security and Compliance
  • Best Practices for MDM Security and Compliance
  • Troubleshooting MDM Security and Compliance Issues
  • Regulatory Compliance and MDM
  • Data Privacy and MDM
  • Data Governance and MDM

  • Troubleshooting MDM Integration and Synchronization Issues Best Practices for MDM Integration and Synchronization
  • Best Practices for MDM Integration and Synchronization
  • Automating MDM Integration and Synchronization
  • Security Considerations for MDM Integration and Synchronization
  • Performance Tuning for MDM Integration and Synchronization
  • Integrating MDM with Other Systems
  • Overview of MDM Integration and Synchronization
  • Understanding Data Synchronization
  • Configuring MDM Integration and Synchronization
  • Working with Data Synchronization Rules

  • Understanding Performance Tuning and Optimization Strategies
  • Analyzing Performance Bottlenecks
  • Optimizing MDM Workflows
  • Optimizing MDM Data Model
  • Optimizing MDM Matching Rules
  • Optimizing MDM Search Indexes
  • Optimizing MDM Data Quality Rules
  • Optimizing MDM Data Loads
  • Optimizing MDM Data Synchronization
  • Troubleshooting MDM Performance Issues

  • Introduction to MDM Analytics and Reporting
  • Overview of MDM Reporting Tools
  • Designing MDM Reports
  • Creating Dashboards and Visualizations
  • Working with MDM Data Sources
  • Advanced MDM Reporting Techniques
  • Automating MDM Reports
  • Troubleshooting MDM Reports
  • Best Practices for MDM Analytics and Reporting
  • Security and Governance for MDM Reports

  • Overview of MDM Best Practices
  • Data Governance Strategies for MDM
  • Data Quality Management for MDM
  • Data Integration Strategies for MDM
  • Security and Privacy Considerations for MDM
  • MDM Architecture Design Principles
  • MDM Performance Optimization Techniques
  • MDM Deployment Strategies
  • MDM Case Studies
  • MDM Metrics and KPIs

FAQs

Informatica MDM is an enterprise solution that creates a single, authoritative source of master data by consolidating, cleansing, and governing data from multiple systems. It is critical for organizations that want consistent customer, product, or supplier data to support accurate reporting, analytics, and operational efficiency.

Yes. The course includes hands-on exercises where learners work on MDM hub configuration, data modeling, match and merge setup, survivorship rules, and hierarchy management. These practical sessions help participants gain real-world experience with Informatica MDM implementations.

Participants will learn how to define matching rules, configure merge strategies, manage trust scores, and resolve duplicate records. The course explains both deterministic and probabilistic matching approaches, ensuring accurate and reliable master data creation.

Yes. The course covers data governance workflows, stewardship processes, approval mechanisms, and data ownership models. Learners understand how to implement governance frameworks that ensure accountability, compliance, and continuous data quality improvement.

By providing a single, trusted source of master data, Informatica MDM ensures that business intelligence, reporting, and analytics systems receive consistent and accurate data. This improves decision-making and reduces discrepancies across reports and dashboards.

After completing this course, professionals can pursue roles such as Informatica MDM Developer, Data Architect, Master Data Analyst, Data Governance Consultant, and Enterprise Data Management Specialist. These roles are in high demand across industries such as finance, healthcare, retail, and telecommunications.

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