IBM InfoSphere Advanced DataStage - Advanced Data Processing V9.1 (KM422G)

Course Description Schedule Course Outline

Who should attend

This advanced course is for Experienced DataStage developers seeking training in more advanced DataStage job techniques and who seek techniques for working with complex types of data resources.


You should:

  • complete DataStage Essentials course or equivalent
  • and have at least one year of experience developing parallel jobs using DataStage

Course Content

This course is designed to introduce you to advanced parallel job data processing techniques in DataStage V9.1. In this course you will develop data techniques for processing different types of complex data resources including relational data, unstructured data (Excel spreadsheets), Hadoop HDFS (big data) files, and XML data. In addition, you will learn advanced techniques for processing data, including techniques for masking data and techniques for validating data using data rules. Finally, you will learn techniques for updating data in a star schema data warehouse using the DataStage SCD (Slowly Changing Dimensions) stage. Even if you are not working with all of these specific types of data, you will benefit from this course by learning advanced DataStage job design techniques, techniques that go beyond those utilized in the DataStage Essentials course.

Classroom Training

Duration 2 days

Price (excl. tax)
  • Germany: 1,490.- €
incl. catering
Catering includes:

  • Coffee, Tea, Juice, Water, Soft drinks
  • Pastry and Sweets
  • Bread
  • 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
22/12/2016 - 23/12/2016 Munich
20/02/2017 - 21/02/2017 Stuttgart
18/04/2017 - 19/04/2017 Hamburg
12/06/2017 - 13/06/2017 Munich
07/08/2017 - 08/08/2017 Düsseldorf
05/10/2017 - 06/10/2017 Berlin
27/11/2017 - 28/11/2017 Frankfurt
20/02/2017 - 21/02/2017 Zurich
22/12/2016 - 23/12/2016 Vienna (iTLS)
12/06/2017 - 13/06/2017 Vienna (iTLS)