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The IBM Planning Analytics: Design and Develop Models in Performance Modeler (v2.0) course is a 5-day course that is designed to teach students how to build a complete model in IBM Planning Analytics using the Modeler tool as well as how to create and customize dimensions and cubes, import and link data, and build and maintain applications.
Topics covered in the course include:
- Creating and customizing dimensions
- Creating and customizing cubes
- Importing data
- Sharing data across cubes with links
- Completing the income statement model
- Creating applications
- Applying modeling techniques
- Converting currencies
- Modeling data with Architect
- Modeling for different fiscal requirements
Target Student:
- Data Modelers
- Business Analysts
Prerequisites:
- An understanding of how to interact with IBM Planning Analytics data
- Basic knowledge of OLAP and Planning Analytics
- Experience with Excel spreadsheets (functions, macros, etc.)
- An understanding your business metrics and drivers
Course Outline
1. Overview of IBM Planning Analytics
- Review financial performance management
- Identify the Planning Analytics position in a performance management system
- Describe the IBM Planning Analytics components and architecture
- Explore IBM Planning Analytics applications
- Explore the IBM Planning Analytics environment
- Manage and organize a model
2. Create and Customize Dimensions
- Review cubes, dimensions, and elements
- Create dimensions manually
- Import dimensions
- Edit dimensions
- Create dimension calculations
- Use Guided Import to create a dimension
3. Create and Customize Cubes
- Construct a new cube
- Discuss cube properties
- Edit a cube structure
- Review and use a pick list
- Create cube calculations
4. Import Data
- Identify data sources
- Create processes to load data
- Create a process to delete data in a cube
- Create processes to update and maintain the model
5. Share Data Across Cubes with Links
- Discuss and list types of links
- Create and modify links
- Review rule- and process-based links
6. Complete the Income Statement Model
- Discuss the model development process
- Complete objects for the model
- Review tools to aid in model development
7. Create Applications
- Explain the application types
- Access an IBM Planning Analytics application
- Create a new application
- Set the available clients
- Apply security in the application
- Activate and de-activate an application
8. Additional Modeling Techniques
- Create dynamic subsets
- Use dimension functions
- Implement business logic
- Improve cube performance
- Use Planning Analytics utilities
9. Convert Currencies
- Discuss currency challenges
- Review control cubes
- Create rules for currency conversion
- Use Planning Analytics techniques to reduce maintenance
10. Model Data with Architect
- Describe IBM Planning Analytics Architect
- Record MDX queries
- Customize drill-through paths
11. Model for Different Fiscal Requirements
- Discuss time considerations
- Use discrete time dimensions
- Implement a continuous time dimension model
Students should have:
- An understanding of how to interact with IBM Planning Analytics data
- Basic knowledge of OLAP and Planning Analytics
- Experience with Excel spreadsheets (functions, macros, etc.)
The Red Hat Gluster Storage Administration (RH236) course is a 4-day course that is designed for senior system administrators and storage administrators who are interested in deploying scalable, highly available storage on off-the-shelf hardware and in the cloud. Students will learn how to install, configure, and maintain a cluster of Red Hat Storage servers. Also, the course will cover highly available CIFS and NFS using CTDB, unified file and object storage and geo-replication.
Red Hat Storage Server Administration is part of our new emerging technology series of courses. These courses focus on Red Hat's newer, evolving technologies. Emerging technologies courses are feature- and functionality-focused and are conducted like guided labs, with little lecture.
Topics covered in the course include:
- Installing and configuring Red Hat Storage Server
- Creating and managing different volume types
- IP failover for NFS and CIFS using CTDB
- Geo-replication
- Unified file and object storage using Swift
Target Student:
- Linux system administrators and storage administrators interested in, or responsible for, maintaining large storage clusters using Red Hat Storage
- Red Hat Certified System Administrator (RHCSA) certification or an equivalent level of knowledge is highly recommended
Prerequisites: Students should possess the following experience before attending the course:
No prerequisites are required for this course.
IBM Planning Analytics: Design and Develop Models in Performance Modeler (v2.0)
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Testimonials
This was the class I needed.
The instructor Jeff took his time and made sure we understood each topic before moving to the next. He answered all of our questions, and I don't know about the rest of the students, but was very pleased with this experience.
I finally understand how to use Excel.
-Amanda T (Yale New Haven Hospital).
Great class!
We were able to cover a lot of information in one day without getting overwhelmed.
-Maria R (Microsoft).
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