Kurs informasjon: IBM Optim Data Growth for Open Systems - SPVC

This is the Self-paced Virtual version of Classroom course IBM Optim Data Growth for Distributed Systems (DT202), Instructor-led Online course IBM Optim Data Growth for Distributed Systems - ILO (3T202) and Web-based course IBM Optim Data Growth for Distributed Systems - Web Based (1T202NO).

This is a self-paced online course. The average amount of time to complete this course is 24 hours. Once you receive your access information, you will have 60 days to complete this course.

Please do not make travel arrangements for this course. After you receive confirmation that you are enrolled, you will be sent further instructions to access the course.

IBM Optim Data Growth for Open Systems 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 the Optim solution's capabilities for managing data growth and improving the performance of critical business applications. This course serves as a foundation for the Optim solution's business value, features, and functionality.

IBM Optim Data Growth for Distributed Systems (DT202) focuses on the technical aspects of the Optim solution and is intended for technical audiences. Participants will install and configure Optim and experience a breadth of Optim core functionality. You will use Optim technology, working through hands-on practice and how to apply the technology to business scenarios.

This course prepares technical users with the Optim knowledge and skills necessary to participate in an Optim implementation project and confidently perform Optim tasks ongoing. During the course, you will participate in both instructor-led, hands-on labs and self-paced labs which apply business scenarios.

This course is designed to introduce the attendee to IBM Optim and to Optim's capabilities in helping clients to manage data growth. Data management basic concepts, functionality and GUI used to implement test data management. You will use Optim Archive, Optim Delete, Optim Browse, Optim Insert, and ODM to produce archived files and perform management activities. You will examine scheduling and running processes from the command line. You will also see how Optim can be used to work with tables in a cross-database environment. Hands-on exercises and checkpoint questions will be used to check the attendee's progress.

The self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day. Once you have accessed the course, instructor help is available via the course forum Monday through Friday; questions will be responded to within 24 hours.

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This is a basic usage course for application developers, business analysts, database administrators, and technical personnel involved in implementing a data growth management solution using the IBM Optim.

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You should be able to:

• Use basic Window functionality
• Discuss basic relational database concepts and objects, such as tables, indexes, views, and joins
• Construct and use basic SQL statements

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• How data growth impacts mission critical applications
• How the Optim solution supports a data growth strategy
• How the Optim solution fits into the architectural landscape
• How to install Optim on both a workstation and server
• How the archiving process works and planning considerations
• How to set personal options
• How to define selection criteria
• How to define Optim relationships and Primary Keys
• How to archive data from a source database
• How to delete data from a source database
• How to restore data to a target database or storage device
• How to create table maps and column maps
• How to search and browse archived data
• How to implement Optim archive actions
• How to use custom exits
• How to retry or restart an Optim process
• How to schedule an Optim process
• How to create collections of archived data
• How to access archived data through the Open Data Manager (ODM)

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• Introduction to IBM Optim
• Optim Architecture
• Optim Installation
• The Optim Directory
• Managing Data Growth
• The Archive Process
• The Delete Process
• Create
• Insert and Load
• The Restore Process
• Defining Optim Primary Keys and Relationships
• Traversing Relationships
• Archive Actions
• Restart/Retry
• Archive Directory
• Export/Import
• The Command Line Interface
• Scheduling
• Archive Collections
• Configuring and Using ODM
• Optim Security

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