IBM InfoSphere Optim Test Data Management Course Overview

IBM InfoSphere Optim Test Data Management Course Overview

The IBM InfoSphere Optim Test Data Management course is a comprehensive training program designed to educate learners on managing and manipulating test data effectively using the IBM Optim Test Data Management solution. This course covers the foundational concepts, practical applications, and advanced features of the IBM Optim Test Data Management software, providing participants with hands-on experience through a series of lessons and labs.

Learners will gain insights into the importance of test data management, the role of IBM InfoSphere Optim in creating realistic test data environments, and how to apply data privacy techniques. The course modules guide students from introductory topics to more complex tasks such as automation, scripting with APIs, data extraction, masking, transformation, and verifying data transformations. Additionally, the course delves into relationship traversal concepts and the command line interface, equipping learners with the skills to manage test data across different stages of the development cycle.

By completing this course, individuals will be proficient in IBM InfoSphere Optim Test Data Management and IBM Optim Test Data Management, enabling them to ensure data privacy, improve testing quality, and comply with data regulations while reducing costs and accelerating delivery times.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 40 Hours)
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Course Prerequisites

To ensure the most effective learning experience in the IBM InfoSphere Optim Test Data Management course, students should have a foundational understanding of the following:


  • Basic knowledge of database concepts, including an understanding of relational database management systems (RDBMS) and Structured Query Language (SQL).
  • Familiarity with data privacy and masking concepts to understand the importance of protecting sensitive information in non-production environments.
  • An understanding of the software development lifecycle (SDLC) and the role of test data within it.
  • Basic experience with scripting and automation to leverage Optim's capabilities to the fullest.
  • Some exposure to RESTful and WebSocket APIs to actively participate in the lab sessions.

While prior experience with IBM Optim products is not mandatory, it can be beneficial for grasping the course material more quickly. The course is designed to accommodate learners with varying levels of expertise, and instructors will provide guidance and support throughout the training.


Target Audience for IBM InfoSphere Optim Test Data Management

IBM InfoSphere Optim Test Data Management course is designed for IT professionals focused on data security and efficiency.


  • Data Managers
  • Database Administrators
  • Data Architects
  • Test Managers
  • QA Engineers
  • IT Developers involved in Test Data Management
  • Compliance Officers
  • System Integrators
  • Data Governance Specialists
  • DevOps Engineers working with databases
  • IT Project Managers overseeing data-related projects


Learning Objectives - What you will Learn in this IBM InfoSphere Optim Test Data Management?

Introduction to the Course's Learning Outcomes and Concepts Covered

The IBM InfoSphere Optim Test Data Management course equips learners with the skills to manage and protect test data efficiently, ensuring data privacy and compliance.

Learning Objectives and Outcomes

  • Gain a comprehensive understanding of IBM InfoSphere Optim solutions and their applications in test data management.
  • Master the usage of RESTful and WebSocket APIs for automation and integration with IBM Optim.
  • Learn to navigate and utilize Optim Designer and Optim Manager for effective test data management.
  • Acquire the ability to extract and secure source data while understanding the importance of data privacy.
  • Develop skills in data masking and transformation using basic and special masking functions to protect sensitive information.
  • Understand the process of verifying data transformations and ensuring data integrity using the Compare Process.
  • Learn to create and populate database objects efficiently in the target environment.
  • Grasp the concepts of primary keys and relationships within databases and how Optim handles these elements.
  • Explore relationship traversal concepts to maintain data referential integrity during subset and masking operations.
  • Become proficient with the Command Line Interface (CLI) for scripting and automating Optim tasks.