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IBM Cognos Analytics: Modeling with Data Modules (V11.1.x)

Course content updated by LearnQuest
Price
239 USD
6.5 Hours
B6290GW
Self-Paced Training (WBT)
IBM Business Partner
Limited Time Offer
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Course Description

Overview

This training teaches data modelers how to model data using data modules in IBM Cognos Analytics. Users will learn how to create data modules from different sources, such as uploaded files. They will also identify how to customize their data modules by adding joins, calculations, and filters. In addition, they will examine how to group their data (for example, by using navigation paths), how to share their data modules with others, and how to make use of some advanced modeling techniques, such as relative date analysis.

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. http://www.ibm.com/training/terms

Objectives

Data modeling in IBM Cognos Analytics • Create and use data modules • Intent-driven modeling • Use the web modeling user interface: overview  

Create a data module • Sources for data modules • Create a new data module in IBM Cognos Analytics: high level steps • Add and relink sources • Enable data caching  

Modify and refine a data module • What happens when you create a data module? • How can I modify and refine a data module? • Modifying the graphic representation  

Create relationship joins • What are relationships? • Create a relationship: high-level steps • Modify relationships • Create new tables

 

Customize data modules using filters and calculations • Customizing a data module • Creating filters • Viewing, editing, and removing filters • Creating calculations • Cleaning data • Using custom calculations  

Group data and create navigation paths • Group data • Group on a numeric column • Group on a text column • Create a navigation path  

Share a data module • What happens when you share a data module?  

Advanced data modeling techniques • Perform relative date analysis: overview • Using the sample calendars to enable relative date analysis • Create a data module for relative date analysis • Customizing the reference date for relative date analysis • Deal with multiple grains of data • Set security in data modules  

Assessment

Audience

Modelers

Prerequisites

    • Knowledge of your business requirements
    • Previous experience building reports with IBM Cognos Analytics V11.1.x

Topics

Data modeling in IBM Cognos Analytics
• Create and use data modules
• Intent-driven modeling
• Use the web modeling user interface: overviewCreate a data module
• Sources for data modules
• Create a new data module in IBM Cognos Analytics: high level steps
• Add and relink sources
• Enable data cachingModify and refine a data module
• What happens when you create a data module?
• How can I modify and refine a data module?
• Modifying the graphic representationCreate relationship joins
• What are relationships?
• Create a relationship: high-level steps
• Modify relationships
• Create new tablesCustomize data modules using filters and calculations
• Customizing a data module
• Creating filters
• Viewing, editing, and removing filters
• Creating calculations
• Cleaning data
• Using custom calculationsGroup data and create navigation paths
• Group data
• Group on a numeric column
• Group on a text column
• Create a navigation pathShare a data module
• What happens when you share a data module?Advanced data modeling techniques
• Perform relative date analysis: overview
• Using the sample calendars to enable relative date analysis
• Create a data module for relative date analysis
• Customizing the reference date for relative date analysis
• Deal with multiple grains of data
• Set security in data modulesAssessment

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Self-Paced Training Info

Learn at your own pace with anytime, anywhere training

  • Same in-demand topics as instructor-led public and private classes.
  • Standalone learning or supplemental reinforcement.
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Self-Paced Training Terms & Conditions

IBM WEB BASED TRAINING (WBT) IS SELF-DIRECTED AND SELF-PACED. Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Web Based Training courses are non-refundable. Once you purchase a Web Based Training course, you will be charged the full price.

IBM Web Based Training courses are sold on a per-user basis. WBT courses provide a training advantage for you and your teams, helping you get up to speed quickly. Take the courses you need, at your convenience and at your own pace.

You can start the course at any time within 12 months of enrolling for the course. After you register/start the course, you have 30 days to complete your course. Within this 30 days, the self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.

System Requirements

To participate in this course, the student workstation must meet the following hardware requirements:
  • Minimum of 256 MB of memory
  • Windows Vista or Windows 7-10 (32-bit or 64-bit edition)
  • Internet Explorer 6 or higher or Firefox ESR
  • 128-bit encryption
  • Citrix Receiver for connection to the IBM Remote Lab Platform
  • Java
  • Access to Internet with at least 128 kbps down and 128 kbps up
  • Other platforms/combinations may work but are not officially supported by IBM.

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