When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
This IBM Web-Based Training (WBT) is Self-Paced and includes: - Instructional content available online for duration of course - Visuals without hands-on lab exercises This course provides...Read More
This IBM Web-Based Training (WBT) is Self-Paced and includes:
- Instructional content available online for duration of course
- Visuals without hands-on lab exercises
This course provides Administrators with guidance on installing and administering the IBM Planning Analytics - Local environment. The course outlines how the architecture can be customized to fit into various infrastructures. Students will learn how to install and configure IBM Planning Analytics - Local, monitor system performance, and secure applications.
Note: Guided eLearning is a self-paced offering which includes web-based content for self-study and videos (including audio) that demonstrate activities.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. /terms
Please refer to course overview
- Basic knowledge of IBM Planning Analytics
- Installing IBM Planning Analytics Local- Configuring IBM Planning Analytics Local- Examining the architecture of IBM Planning Analytics Local- Administering servers with the TM1 Operations Console- Monitoring TM1 servers in the TM1 Operations Console- Working with TM1 log files- Examining the audit log- Monitoring performance with control cubes- Monitoring TM1 server performance in real time- Broadcasting messages to clients- Making a TM1 server unavailable- Maintaining TM1 applications- Securing Planning Analytics- Working with TM1 users and groups- Making TM1 objects and data accessible- Transferring data in Performance Modeler- Backing up TM1 servers and data