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IBM Cognos Cube Designer: Design Dynamic Cubes (v11.0)

In this course, you will learn how to model metadata for predictable reporting and analysis results using IBM Cognos Cube Designer.

GK# 4293 Vendor# B6063G

$720 - $1595 CAD

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Course Overview

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This course provides participants with introductory to advanced knowledge of how to model metadata for predictable reporting and analysis results using IBM Cognos Analytics 11  Cube Designer. Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing a dynamic cube, and enabling end users to easily author reports and analyze data.

Schedule

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  • Delivery Format:
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Outline

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Viewing outline for:

Classroom Live Outline

Course Outline:

1. Introduction to IBM Cognos Dynamic Cubes

  • Differentiate Dynamic Cubes
  • Dynamic Cubes Characteristics
  • Dynamic Cube Requirements
  • Dynamic Cube Components
  • High Level Architecture
  • IBM Cognos Dynamic Query
  • Dimensional Data Structures
  • Dynamic Cubes Caching

2. Create and Design a Dynamic Cube

  • IBM Cognos Cube Designer
  • Cube Development Process
  • the Automatic Cube Generation
  • Manual Development Overview
  • Create Dimensions
  • Model the Cube
  • Best Practice for Effective Modeling

3. Deploy and Configure a Dynamic Cube

  • Deploy a Cube
  • Estimate Hardware Requirements
  • Cube Management Tasks
  • Query Service Administration
  • Dynamic Cube Properties
  • Schedule Cube Actions
  • Use the DCAdmin Comment Line Tool

4. Advanced Dynamic Cube Modeling

  • Advanced Modeling Concepts
  • Modeling Caveats
  • Calculated Measures and Members
  • Model Relative Time
  • Explore the Current Period Property
  • Period Aggregation Rules for Measures

5. Advanced Features of Cube Designer

  • Multilingual Support
  • Ragged Hierarchies and Padding Members
  • Parent-Child Dimensions
  • Refresh Metadata
  • Import Framework Manager packages
  • Filter Measures and Dimensions

 
6. Optimize Performance with Aggregates

  • Aggregates and Aggregate Tables
  • In-memory Aggregates
  • Use Aggregate Advisor to Identify Aggregates
  • User Defined in-Memory Aggregates
  • Optimize In-Memory Aggregates Automatically
  • Aggregate Advisor Recommendations
  • Monitor Dynamic Cube Performance
  • Model Aggregates (Automatically vs. Manually)
  • Use Slicers to Define Aggregation Partitions

7. Define Security

  • Overview of Dynamic Cube Security
  • Identify Security Filters
  • The Security Process
  • Security Scope
  • Scope Rules
  • Roles
  • Capabilities and Access Permissions
  • Cube Security Deep Dive

8. Model a Virtual Cube

  • Explore Virtual  Cubes
  • Create the Virtual Cube
  • Explore Virtual Cube Objects
  • Examine Virtual Measures and Calculated Members
  • Currency Conversion Using Virtual Cubes
  • Security on Virtual Cubes

9. Introduction to IBM Cognos Analytics

  • IBM Cognos Analytics
  • Redefined Business Intelligence
  • Self-Service
  • Navigate to Content in IBM Cognos Analytics
  • Interact with the User Interface
  • Model Data with IBM Cognos Analytics
  • IBM Cognos Analytics Components
  • Create Reports
  • Perform Self-Service with Analysis and Dashboards
  • IBM Cognos Analytics Architecture (High Level)
  • IBM Cognos Analytics Security
  • Package / Data Source Relationship
  • Create Data Modules
  • Upload Files

Prerequisites

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  • Knowledge of dimensional modeling and design
  • Experience using the IBM Cognos Analytics portal and Administration

Who Should Attend

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Data modelers

Course Delivery

This course is available in the following formats:

Classroom Live

Receive face-to-face instruction at one of our training center locations.

Duration: 2 day

Virtual Classroom Live

Experience expert-led online training from the convenience of your home, office or anywhere with an internet connection.

Duration: 2 day

Self-Paced

On-demand content enables you to train on your own schedule.



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