Updated Informatica Master Data Management (Mdm) Idmc

Informatica MDM Fundamentals to Advanced: Build, Manage and Govern Master Data, Tools, Techniques and MDM Success.

What you'll learn

The fundamentals and business value of Master Data Management (MDM)

Key concepts such as golden records, trust, survivorship, and match & merge

The architecture and core components of the Informatica MDM platform

How to design and configure data models using base objects, landing, staging, and relationship tables

Building and managing trust scores and validation rules for master data quality

The complete data processing flow: landing, cleansing, transformation, matching, merging, and survivorship

Difference between batch and real-time processing in Informatica MDM

Managing hierarchies and relationships using Hierarchy Manager and E360 tools

Data stewardship tasks and exception management workflows

Informatica MDM’s data governance features like auditing, traceability, and versioning

Security architecture, performance tuning techniques, and deployment strategies

Real-world MDM applications across domains like Customer Data Management (CDM), Product Information Management (PIM), healthcare, finance, and retail

Requirements

Just focus to learn Informatica MDM for Implement in Projects.

Description

This is an Unofficial Course.Master Data Management (MDM) is essential for organizations striving for consistency, accuracy, and governance across their critical business data. This comprehensive course is designed to help you master Informatica MDM, one of the industry’s leading tools for managing master data across enterprise systems.Whether you are a data professional, developer, analyst, or architect, this course will guide you through the complete journey of implementing and working with Informatica MDM. You’ll begin by understanding the fundamentals of Master Data Management—what it is, why it's crucial, and the business problems it solves. Then, you’ll dive into the Informatica MDM platform, exploring its architecture, core components, and integration capabilities.You’ll learn how to design robust data models using base objects, landing tables, and relationships. Practical lessons on trust and validation rules will show you how to ensure clean and reliable master records. You'll also gain hands-on insights into key data processing concepts like landing, staging, cleansing, transformation, matching, merging, and survivorship.The course covers both batch and real-time processing options and explains how to manage complex hierarchies and business relationships using Hierarchy Manager and E360. You'll understand the role of data stewards and how Informatica supports data governance through auditing, versioning, and exception management.In addition to core features, the course also delves into performance tuning, security design, and scalable deployment options—essential for enterprise-level implementations. Real-world use cases in Customer Data Management (CDM), Product Information Management (PIM), healthcare, finance, and retail will help you connect concepts with practical applications.By the end of this course, you’ll have the knowledge and confidence to work on real Informatica MDM projects, contribute to enterprise data governance initiatives, and enhance the data quality and integrity across your organization.Thanks

Overview

Section 1: Introduction to MDM and Informatica

Lecture 1 What Is Master Data Management (MDM)?

Lecture 2 Introduction to Informatica MDM

Lecture 3 Key MDM Concepts and Terminology

Section 2: Informatica MDM Architecture and Components

Lecture 4 High-Level Architecture

Lecture 5 Hub Store and ORS (Operational Reference Store)

Lecture 6 Services Integration Framework (SIF)

Lecture 7 User Interfaces: Hub Console and Business Entity Services

Section 3: Data Modeling in Informatica MDM

Lecture 8 Data Model Overview

Lecture 9 Entity Design and Configuration

Lecture 10 Trust and Validation Rules

Section 4: Data Processing and Workflows

Lecture 11 Landing and Staging

Lecture 12 Cleanse and Transformation

Lecture 13 Match and Merge Logic

Lecture 14 Batch and Real-Time Processing

Section 5: Hierarchy and Relationship Management

Lecture 15 Managing Relationships in MDM

Lecture 16 Hierarchy Management Tools

Section 6: Data Governance and Stewardship

Lecture 17 Role of Data Stewards

Lecture 18 Data Governance Features in MDM

Lecture 19 Exception Management and Workflows

Section 7: Security, Performance, and Scalability

Lecture 20 Security Architecture in Informatica MDM

Lecture 21 Performance Optimization Techniques

Lecture 22 Scalability and Deployment Options

Section 8: Industry Use Cases and Application Scenarios

Lecture 23 MDM in Customer Data Management (CDM)

Lecture 24 MDM in Product Information Management (PIM)

Lecture 25 MDM in Healthcare, Finance, and Retail

Data professionals seeking to build expertise in Master Data Management (MDM),Informatica developers and architects who want to design and implement MDM solutions,Data analysts and data engineers working on enterprise data quality and integration projects,Business and data stewards involved in data governance, exception handling, and data stewardship tasks,IT professionals and consultants supporting digital transformation or customer/product data initiatives,Students and career changers looking to enter the field of data management with practical, job-ready skills,Anyone interested in learning how to manage, clean, and govern enterprise master data using Informatica MDM