DataStage - Get Started

    

Summary:
This course will introduce students to basic functions, capabilities and strengths of this software tool and how DataStage can be used to harness the power of parallel computing hardware for processing massive volumes of data in a minimum amount of time.

Duration:
4 Days/Lecture & Lab

Audience:
This course is designed for anyone new to the DataStage Environment.

Topics:

• Overview of ETL, DataStage and software available
• DataStage Enterprise Edition tools (Admin, Designer, Director, and Web Administrator)
• Parallel Concepts (Application scalability, Explicit & Implicit parallelisms Pipeline and partition parallelisms Framework of engine)
• Datasets and their types (Virtual -links between stages & Persistent - physical datasets)
• Partitioners and Collectors (how to break up and collect data, how to improve the speed of processing, why 2 CPUs are better than one)
• Overview of Enterprise Edition stages (Sequence stage, copy stage, Row Generator Review examples of Lookup, Join and Merge functions)
• Debugging DataStage (Using the debugging tools within the environment, debugging job design)
• Understanding how Partitioning can impact debugging.

Last Update: May 20, 2012