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Cloud Data Access Management

Instructor Led | Data Governance | 2 Days | July 2025 Release

Course Overview

Understand and apply the principles and practices of Data Access Management to secure and manage sensitive data effectively. Learn how to use the Informatica Data Management Cloud (IDMC) platform to create and enforce data access policies including de-identification and data filters and configure data delivery through self-service in Cloud Data Marketplace (CDMP) and data integration mechanisms using Cloud Data Integration (CDI). You will learn to develop skills to implement access control policies and native enforcement techniques across various data environments, enabling secure, role-based access to data while supporting business value and compliance requirements.
This is applicable for users of the July 2025 Release.

Objectives

After successfully completing this course, students should be able to:

  • Identify the challenges of Data Privacy and Data Access
  • Describe foundational prerequisites in IDMC
  • Describe Data Access Management use cases
  • Explore the User Interface
  • Create Data Protections and Data Access Policies
  • Describe how protected data can be delivered in a mapping in CDI
  • Request access to protected data in CDMP
  • Describe data protection in native enforcement

Target Audience

  • Data Steward
  • Data Analyst
  • Data Scientist

Prerequisites

  • None
Agenda
Module 1: Introduction to Data Access Management
  • Introduction to Data Security
  • Problem statement and Business Value
  • Benefits of Data Access Management
  • Data Access Management and IDMC
  • User Personas
  • Terms and Services in IDMC – Foundation, Enforcement & Delivery
Module 2: Foundation
  • Data Classifications in MCC
  • Business Terms in CDGC
  • Data Assets in CDGC
  • CDMP Usage contexts
  • Proxy Service in Administrator
  • User Roles and Groups in IDMC Administrator
  • Lab: Explore the Prerequisites of Data Access Management
  • Define Usage Types in CDMP
Module 3: Data Access Management
  • Access Data Access Management
  • Terms used in Data Access Management
  • Describe Access Policies
  • Lab: Data Access Management User Experience
Module 4: Define Data De-Identification Policies
  • Define Precedence Tiers
  • Define Data Protections
  • Define Rules and Conditions
  • Define Data De-Identification (Field Level and Cell Level)
  • Lab: Create Precedence Tiers
  • Lab: Create Data Protections
  • Lab: Create Default Data Protections
  • Lab: Create Data De-Identification Policies
  • Lab: Create Data De-Identification Policies with Conditions
 
Module 5: Define Data Filters
  • Define Data Filters
  • Lab: Create Data Filter Policies for Data Integration/Data Marketplace
  • Lab: Create Data Filter Policies for Operational Analysis
Module 6: Delivery - Self-Service
  • Review CDMP Settings
  • Configure the Delivery Target
  • Define Usage Contexts
  • Describe the Process of Searching and Ordering Data Collections
  • Review Data Self-service using Managed Access
  • Lab: Shop for Context driven Data with Automatic Delivery
Module 7: Delivery - Data Integration
  • Describe a Mapping in CDI
  • Identify the Access Policy Transformation
  • Define the Process of Transforming Data in CDI
  • Lab: Configure and Review Data Integration Mappings with Data Access Policies
Module 8: Define Access Control Policies
  • Define Data Access Control Policies
  • Lab: Create Data Access Control Policies
Module 9: Delivery - Native Enforcement
  • Describe Native Enforcement
  • Users and Assets in Native Platforms
  • Describe the Process of natively restricting Access to Data
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