InfoSphere Optim Test Data Management and Data Masking on z/OS
The IBM Optim Data Privacy Option course is designed to enable you to successfully develop and execute a data privacy strategy to de-identify sensitive data. This course provides a conceptual understanding of the data privacy issue, as well as the Optim Solution's capabilities for de-identifying data and supporting compliance initiatives for critical business applications. This course serves as a foundation for the Optim Solution's features, and functionality.
This course focuses on the technical aspects of the Optim Solution and is intended for technical audiences. You will learn the basics of how the technology works through hands-on exercises illustrating how the technology applies to business scenarios. This course does not include information on how to install and configure the technology.
This course prepares technical users with the Optim knowledge and skills necessary to participate in an Optim privacy implementation project and confidently perform Optim tasks ongoing.
This basic course is for Privacy Project Leaders and project team members who will be responsible for implementing and executing a data privacy strategy for one or more applications. This would include application developers, business analysts, and DBAs who have been assigned to your privacy project.
You should have a working knowledge of:
Unit 01: Introduction to IBM Optim Solutions
Unit 02: The Optim Directory
Unit 03: Introduction to Test Data Management
Unit 04: Extract the Data
Unit 05: Create Database Objects
Unit 06: Basic Masking Techniques (Convert)
Unit 07: Use Compare to Validate Your Changes
Unit 08: Populate the Destination Tables
Unit 09: Retry or Restart an Optim Process
Unit 10: Edit and Browse Test Data
Unit 11: Optim Primary Keys and Relationships
Unit 12: Relationship Traversal Concepts
Unit 13: Export and Import Optim Directory Objects
Unit 14: Optim and Legacy Data
Exercise 11: Extract Legacy Data
Unit 15: Batch Utilities
Unit 16: Optim Security Overview
Unit 17: Performance Considerations
Unit 18: Special Masking Functions
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