Kursen har inget datum.
|Kurslängd||4.0 dagar||Leveranstyp||Instructor led
|Listpris||Set by Partner|
This course combines the materials of the course, InfoSphere Optim Data Growth for Archiving for Dist Systems (DT203), with the course, Using InfoSphere Optim Test Data Management and Data Privacy for Dist Systems (DT213), and eliminates duplicated material. Thus, anyone taking just the course, InfoSphere Optim Data Growth for Archiving for Dist Systems (DT203), would leave at the end of Day 3. The material on Day 4 extends the knowledge gained with data growth to the additional areas of test data management and data masking/data privacy.
This course is designed to provide technical end-users and DBAs with a foundation in the functionality basics of the Optim solution. This course provides both a conceptual understanding of data growth as well as an understanding of Optim solution's capabilities for managing data growth and improving the performance of critical business applications. It also provides a conceptual understanding of the management of test data and de-identifying data for privacy protection and supporting compliance initiatives for critical business applications. This course serves as a foundation for the Optim solution's business value, features, and functionality.
The focus of the combined course is hands-on experience building relationally intact subsets of data (both as Archive files and Extract files) and working with them in standard data growth, test data management, and data masking/data privacy scenarios. This course provides technical users with the Optim knowledge and skills necessary to participate in Optim implementation projects and confidently perform Optim tasks that apply the technology to a variety of business scenarios.
Throughout the course, you will participate in both instructor-led, hands-on labs, and self-paced labs which apply business scenarios.
This is a basic usage course for application developers, business analysts, database administrators, and technical personnel involved in implementing data growth management, test data management, and data masking/ privacy using IBM Optim.