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IBM Cognos Data Manager: Build Data Marts with Enterprise Data (v10.2) (B5280G)

Course Description Schedule Course Outline
 

Who should attend

This course is intended for Developers.

Prerequisites

You should have:

  • a knowledge of basic Windows functionality, database and dimensional analysis concepts, as well as a working knowledge of SQL

Course Objectives

IBM Cognos Data Manager: Build Data Marts with Enterprise Data (V10.2) is a five-day, instructor-led course that teaches participants how to move, merge, consolidate, and transform data from a range of data sources to build and maintain subject-area data marts. In the process, students will create a catalog and add connections to data sources and targets. They will also deliver fact and dimension data to a data mart through the use of builds and the dimensional framework. In addition, students will learn how to automate common functionality and handle complex data issues, such as unbalanced hierarchical structures.

Course Content

IBM Cognos Data Manager: Build Data Marts with Enterprise Data (V10.2) is a five-day, instructor-led course that teaches participants how to move, merge, consolidate, and transform data from a range of data sources to build and maintain subject-area data marts. In the process, students will create a catalog and add connections to data sources and targets. They will also deliver fact and dimension data to a data mart through the use of builds and the dimensional framework. In addition, students will learn how to automate common functionality and handle complex data issues, such as unbalanced hierarchical structures.

Classroom Training
Modality: C

Duration 5 days

Price (excl. tax)
  • Germany: 3,250.- €
incl. catering
Catering includes:

  • Coffee, Tea, Juice, Water, Soft drinks
  • Pastry and Sweets
  • Fresh fruits
  • Lunch in a nearby restaurant

* Catering information only valid for courses delivered by Fast Lane.


Digital courseware Dates and Booking
 
Click on town name to bookSchedule
Germany
09/10/2017 - 13/10/2017 Berlin