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

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

The IBM Cognos Cube Designer: Design Dynamic Cubes (v11.0) course is an in-depth training program that equips learners with the knowledge to build, deploy, and maintain Dynamic Cubes in IBM Cognos. The course covers a range of topics from cube creation and design to performance optimization and security.

Throughout the course, participants learn how to differentiate and characterize Dynamic Cubes, understand their architecture, and navigate the IBM Cognos Cube Designer. They are trained in the cube development process, which includes both automatic and manual cube generation, and taught best practices for effective modeling.

The course also delves into advanced topics such as multilingual support, parent-child dimensions, and virtual cubes, along with performance tuning through aggregates. Security is a significant focus, providing insights into creating secure data access.

By the end of the course, learners will be adept at using IBM Cognos Analytics for self-service reporting and data interaction, ensuring a comprehensive skill set for managing Dynamic Cubes and supporting business intelligence initiatives.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 16 Hours)
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♱ Excluding VAT/GST

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Course Prerequisites

To ensure that participants are well-prepared to make the most of the IBM Cognos Cube Designer: Design Dynamic Cubes (v11.0) course, the following prerequisites are recommended:

  • Basic understanding of database concepts, including relational and dimensional data structures.
  • Familiarity with SQL and experience with querying databases.
  • Experience with OLAP and an understanding of basic OLAP concepts.
  • Knowledge of business intelligence concepts and the purpose of data warehousing.
  • Prior exposure to IBM Cognos Analytics (version 11 or later) is beneficial but not mandatory.
  • General IT knowledge, including an understanding of the structure and purpose of enterprise systems.

These prerequisites are intended to provide a foundation for learners to build upon during the course. They are not meant to be barriers to entry but rather to ensure that participants can keep pace with the course content and fully benefit from the instruction provided.

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

Learn how to design, deploy, and optimize IBM Cognos Dynamic Cubes with this course, tailored for IT professionals focused on business intelligence.

  • Business Intelligence Developers
  • Data Architects
  • BI System Administrators
  • Data Warehouse Specialists
  • Analytics Managers
  • IT Consultants specializing in BI
  • Database Professionals seeking to enhance BI skills
  • Data Analysts aiming to utilize IBM Cognos
  • Reporting Analysts interested in dynamic cube design
  • Solution Architects working with IBM Cognos environments
  • Performance Management Professionals

Learning Objectives - What you will Learn in this IBM Cognos Cube Designer: Design Dynamic Cubes (v11.0)?

Introduction to the Course's Learning Outcomes

This course equips learners with the skills necessary to design, deploy, and manage IBM Cognos Dynamic Cubes, enhancing their ability to handle large-scale business intelligence solutions effectively.

Learning Objectives and Outcomes

  • Understand the distinctive features and advantages of IBM Cognos Dynamic Cubes for business intelligence solutions.
  • Identify the requirements and components critical for the successful implementation of dynamic cubes.
  • Gain proficiency in using IBM Cognos Cube Designer to create, model, and design dynamic cubes.
  • Develop best practices for effective dynamic cube modeling and learn to manage cube dimensions and measure groups.
  • Deploy and configure dynamic cubes, including hardware requirements estimation and query service administration.
  • Master advanced dynamic cube modeling techniques, such as creating calculated measures, members, and modeling relative time.
  • Explore and implement multilingual support, ragged hierarchies, parent-child dimensions, and metadata refresh strategies.
  • Optimize cube performance through the design and implementation of in-memory aggregates and aggregate tables.
  • Define comprehensive security models within dynamic cubes to ensure data integrity and controlled access.
  • Learn to model and manage virtual cubes, including virtual measures, calculated members, and currency conversion.
  • Get introduced to IBM Cognos Analytics, understand its architecture, components, and learn how to create reports and data modules for self-service analytics.