Using InfoSphere Optim Data Growth for Archiving on Distributed SystemsDigi Academy
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Domande più frequenti
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
Contenuti del corso
This course is designed to provide technical end-users and DBAs with a foundation in the functionality basics of the InfoSphere Optim Data Growth solution. This course focuses on the technical aspects of the Optim solution and is intended for technical audiences. Students will use Optim technology working through hands-on practice on 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.
This course is designed to introduce the attendee to IBM Optim and to Optim´s capabilities in helping clients to manage data growth. Students will use Optim processes to archive, delete, browse, restore, load, and insert data. They will also learn to use Open Data Manager (ODM) to access archived files and perform management activities.
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, hands-on exercises will be used to check the attendee´s progress.
This course uses IBM InfoSphere Optim Data Growth Solution V184.108.40.206 on distributed systems.
Contenuti dettagliati del corso
- Introduction to IBM InfoSphere Optim
- Optim Common Elements
- Access Definitions and Table Definitions
- The Archive Process
- The Delete Process
- The Create Utility
- The Insert and Load Processes
- The Restore Process
- More Archive Functions
- Optim Primary Keys and Optim Relationships
- Traversing Relationships
- The Command Line Interface
- Optim Utilities
- Optim Security
- Optim Implementation Best Practices
- Archive Collections and Open Data Manager (ODM)