Informatica CDGC (Cloud Data Governance and Catalog)Live Training

Informatica CDGC (Cloud Data Governance and Catalog) Live Training by InventModel is designed to help professionals master enterprise data governance using Informatica IDMC. This instructor-led program covers metadata management, business glossary, data cataloging, classification, lineage, and governance workflows. Learn real-time CDGC architecture, personas, and governance frameworks used by global enterprises. Gain hands-on experience with secure agents, catalog sources, and metadata onboarding. The course includes practical labs on classification rules, glossary management, and workflow configuration. Understand end-to-end data governance implementation in cloud and hybrid environments. Training is delivered by industry experts with real project experience. Ideal for data governance analysts, MDM professionals, and data architects. Includes interview preparation, real-time use cases, and project guidance. Enroll now to build in-demand Informatica CDGC skills and advance your data governance career.

Created By: Team InventModel

5 (1190 Ratings) • 1458 Students Enrolled

Requirements

Demo Video:

Demo session - Informatica CDGC (Cloud Data Governance and Catalog) Live training


Informatica CDGC (Cloud Data Governance and Catalog) Live Training

Pre-Requisites:

• Training starts from basics and goes up to advanced level
• No prior experience with tools required

Job Scope & Market Demand:
• Informatica CDGC is one of the leading Data Governance tools with huge global demand
• Multiple job openings across clients
• High demand with very limited supply of skilled resources

Program Highlights:
• Guaranteed certification from InventModel
• Direct access to the trainer during and after training
• Option to rejoin future batches for revision
• 30 hours of live training + 10 hours of assignments (Total 40 hours)
• Hands-on training on Informatica CDGC architecture, data modeling, SQL, and performance optimization
• Real-time labs and industry use cases for practical learning
• Build scalable, secure, and high-performance data solutions
• 200+ real-time project scenarios and 1 complete end-to-end project
• Coverage of installation, development, testing, and support
• Dedicated sessions for resume building, interview preparation, and job support

Trainer Profile:
• 15+ years of IT experience as a Solution Architect in top MNCs
• Provides practical guidance with enterprise-level insights

Lab Access:
• Trainer will guide participants to get hands-on lab access for practice

Certification:
• InventModel certification guaranteed upon completion

Course Description

Module 1: Introduction to Cloud Data Governance and Catalog (CDGC)

  • Introduction to Data Governance Concepts

  • Why Data Governance is Critical for Enterprises

  • Challenges in Traditional Data Governance

  • Governance in Cloud & Hybrid Environments

  • Overview of Informatica Intelligent Data Management Cloud (IDMC)

  • CDGC Overview and Key Capabilities

  • CDGC as an Enterprise Governance Solution

  • Business Benefits of CDGC

  • CDGC Architecture Overview

  • Metadata-driven Governance Framework

  • Technical Architecture and Component Interaction

  • Understanding Personas

    • Data Owner

    • Data Steward

    • Data Custodian

    • Data Consumer

    • Administrator

  • Services Used in CDGC

    • Administrator Service

    • Metadata Command Center (MCC)

    • Data Governance & Catalog Service

  • Licensing Overview

  • Getting Started with CDGC

  • Navigation and Environment Setup

Module 2: Exploring the User Interface

  • Informatica IDMC Home Page Overview

  • Organization and Sub-Organization Structure

  • Administrator Service Overview

  • Metadata Command Center (MCC) Overview

  • Data Governance and Catalog Service UI

  • Global Search Capabilities

  • Asset Search and Filtering

  • Dashboard Navigation

  • Recent Assets and Favorites

  • Notifications and Job Monitoring

  • Understanding Asset Views

Module 3: Runtime Environment

  • Runtime Architecture Overview

  • Hosted Agents

  • Secure Agents

  • Secure Agent Groups

  • Serverless Runtime Environments

  • When to Use Hosted vs Secure Agent

  • Secure Agent Communication Model

  • Agent High Availability and Load Balancing

  • Secure Agent Installation Requirements

  • Agent Configuration

  • Secure Agent Upgrade Process

  • Performance Sizing Guidelines

  • Troubleshooting Agent Issues

  • Lab: Installing and Configuring Secure Agent

Module 4: Roles, Groups, and Users

  • Security Framework in CDGC

  • Role-Based Access Control (RBAC)

  • Understanding User Roles

  • System Roles vs Custom Roles

  • Asset Permissions

  • Feature Privileges

  • Governance Permissions

  • Creating and Managing User Groups

  • Assigning Users to Groups

  • Best Practices for Role Design

  • Delegation of Stewardship

  • Lab: Creating Custom User Roles

  • Lab: Creating User Groups

  • Lab: Creating Users and Assigning Permissions

Module 5: Connections

  • Overview of Connectivity Framework

  • Types of Connections

    • Database Connections

    • File-based Connections

    • Cloud Storage Connections

    • BI Tool Connections

  • Supported Source Systems

  • Authentication Methods

  • Creating Connections

  • Managing and Editing Connections

  • Connection Validation

  • Connection Permissions and Security

  • Connection Reusability Across Services

  • Lab: Creating SQL Server Connection

  • Lab: Creating File Connection

  • Lab: Creating Power BI Connection

Module 6: Metadata Assets

  • Introduction to Metadata Management

  • Technical Metadata vs Business Metadata

  • Lookup Tables

  • Data Classifications

  • Classification Rule Types

  • Data Element Classification

  • Data Entity Classification

  • Relationship Inference Models

  • Glossary Association

  • Business Glossary Overview

  • Pre-defined Governance Content

  • Custom Attributes

  • Metadata Enrichment Techniques

  • Lab: Creating Lookup Tables

  • Lab: Creating Data Element Classification Rules

  • Lab: Creating Data Entity Classification Rules

  • Lab: Uploading Glossary Content

  • Lab: Importing Pre-defined Content

  • Lab: Creating Custom Attributes

Module 7: Onboarding Data

  • Metadata Onboarding Lifecycle

  • Supported Catalog Sources

  • Source System Registration

  • Catalog Source Configuration

  • Filters and Metadata Scope

  • Schema and Object Selection

  • Connection Assignment

  • Scheduling Metadata Scans

  • Monitoring Metadata Jobs

  • Incremental vs Full Scans

  • Error Handling and Logs

  • Lab: Creating Amazon S3 Catalog Source

  • Lab: Creating Flat File Catalog Source

  • Lab: Creating PostgreSQL Catalog Source

  • Lab: Creating Microsoft SQL Server Catalog Source

  • Lab: Creating Informatica CDI Catalog Source

  • Lab: Performing Connection Assignment

Module 8: Custom Catalog Source and Custom Lineage

  • Need for Custom Catalog Sources

  • Standard vs Custom Catalog Sources

  • Custom Models

  • Custom Asset Types

  • Attribute Mapping

  • Importing Metadata via Flat Files

  • REST-based Metadata Import

  • Custom Lineage Concepts

  • Technical Lineage vs Business Lineage

  • Cross-System Lineage

  • Extending Lineage Across Tools

Module 9: Configuring Workflows

  • Governance Workflow Concepts

  • Workflow Architecture

  • Pre-defined Governance Workflows

  • Approval Workflows

  • Stewardship Assignment Workflows

  • Change Request Management

  • Issue Management

  • Ticket Creation and Tracking

  • Workflow Customization

  • SLA Tracking

  • Notifications and Alerts

Module 10: Workshop / Capstone Project

  • End-to-End Governance Implementation

  • Data Onboarding from Amazon S3

  • Metadata Scanning

  • Classification

  • Glossary Mapping

  • Steward Assignment

  • Lineage Visualization

  • Workflow Execution

  • Governance Reporting

  • Best Practices Discussion

  • Real-Time Industry Use Case Implementation

Training Includes

  • Live Instructor-Led Sessions

  • Hands-on Labs

  • Real-Time Use Cases

  • Project-Based Learning

  • Interview Preparation

  • Resume Guidance

  • Access to Practice Environment

  • Post-Training Support

Course Reviews

5 Based on 1190 Reviews
  • 5 Stars

    80%

  • 4 Stars

    20%

  • 3 Stars

    0%

  • 2 Stars

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InventModel’s Informatica CDGC training is perfect for professionals looking to move into data governance roles. The course content, labs, interview preparation, and post-training support were excellent.

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Keshav

The live training environment and practical demos were outstanding. Concepts like lineage, workflow configuration, and governance roles were explained with clarity. This course helped me gain strong confidence in Informatica CDGC.

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Pravin

Very detailed and industry-oriented training. The sessions covered end-to-end CDGC architecture, personas, secure agents, and metadata onboarding. The trainer’s real project experience made learning easy and effective.

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Kevin

One of the best CDGC trainings I have attended. The hands-on labs on catalog sources, classifications, and business glossary helped me understand real enterprise implementations. Excellent support from the InventModel team.

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Nisa pandey

The Informatica CDGC live training was extremely well structured and practical. The trainer explained governance concepts, metadata, lineage, and workflows very clearly with real-time use cases. Highly recommended for anyone working in data governance.

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Anuradha Singh
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₹39,000.00₹59,000.00
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