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The IBM InfoSphere DataStage v11.5 - Advanced Data Processing course is a 2-day course that is designed to introduce students to advanced parallel job data processing techniques in DataStage v11.5. In this course students develop data techniques for processing different types of complex data resources including relational data, unstructured data (Excel spreadsheets), and XML data. Additionally, students will learn advanced techniques for processing data, including techniques for masking data and techniques for validating data using data rules. Finally, students will learn techniques for updating data in a star schema data warehouse using the DataStage SCD (Slowly Changing Dimensions) stage. Even if students are not working with all of these specific types of data, they will benefit from this course by learning advanced DataStage job design techniques, techniques that go beyond those utilized in the DataStage Essentials course.
Topics covered in the course include:
Target Student:This course is designed for the following students:
Experienced DataStage developers who want learn about more advanced DataStage job techniques
Prerequisites: Students should possess the following experience before attending the course:
No prerequisites are required for this course.
1. Accessing Databases
2. Processing Unstructured Data
3. Data Masking
4. Using Data Rules
5. Processing XML Data
6. Updating a Star Schema Database
Please check the course description to find prerequisite information.
This was the class I needed.
The instructor Jeff took his time and made sure we understood each topic before moving to the next. He answered all of our questions, and I don't know about the rest of the students, but was very pleased with this experience.
I finally understand how to use Excel.
-Amanda T (Yale New Haven Hospital).
We were able to cover a lot of information in one day without getting overwhelmed.
-Maria R (Microsoft).
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