Course details
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.
Pre-Requisites
You should:
- complete DataStage Essentials course or equivalent
- and have at least one year of experience developing parallel jobs using DataStage
Course Location
About Global Knowledge Egypt
Global Knowledge is the worldwide leader in IT and business skills training. They deliver via training centers, private facilities, and the Internet, enabling their customers to choose when, where, and how they want to receive training programs and learning services.
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