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IBM Planning Analytics: Design and Develop Models in Performance Modeler (v2.0)

$1800 | 30-month Training License

Course Overview

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

IBM Training

TARGETED FOR: Business Analyst | Data Modeler | Modeling Data With Architect

Learn from Professional Instructors and move forward in your field with industry-aligned IBM training.

+ Course Delivery Format
On-Demand

All of our On-Demand Classes were developed by professional instructors to provide you with a comprehensive learning experience.

How it works is once you register for an On-Demand course we will activate your course and send you instructions on how to access your training. You will have full access to your course during your license period and be able to review the material as much as you want during that time.

We offer On-Demand topics from different vendors in addition to our own courses, so the activation process is slightly different based on who offers the course. All instructions will be emailed upon class activation.

+ What's Included

  • Professional Level Training - Courses are developed by expert trainers with over 15 years of experience, so you will get a great course at a low price.
  • 24/7 Access - You can learn when it is convenient for you.
  • Affordable Pricing - Our classes are much cheaper than our live-instructor classes, so you can get the same excellent training at a lower price.
  • Free Repeat - You can repeat the On-Demand classes as many times as you like during the license period.
  • Hands-On Learning - Our classes are designed for you work hands on during the session so can stay engaged and really learn the material.
  • Certificate of Completion - Each student will receive a certificate of completion after completing the course.

+ Course Outline
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
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+ Prerequisites

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.)
" 1429,1542,,6913,Red Hat Gluster Storage Administration (RH236),0,0,RedHat,redhat-tb.png,,redhat,"

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.

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IBM Planning Analytics: Design and Develop Models in Performance Modeler (v2.0)

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