InfoSphere Advanced Datastage Training Bootcamp

At the end of the course, learners will be able to:

• Describe the parallel processing architecture and development and runtime environments
• Describe the compile process and the runtime job execution process
• Describe how partitioning and collection works in the parallel framework
• Describe sorting and buffering in the parallel framework and optimization techniques
• Describe and work with parallel framework data types
• Create reusable job components
• Use loop processing in a Transformer stage
• Process groups in a Transformer stage
• Extend the functionality of DataStage by building custom stages and creating new Transformer functions
• Use Connector stages to read and write from relational tables and handle errors in Connector stages
• Process XML data in DataStage jobs using the XML stage
• Design a job that processes a star schema database with Type 1 and Type 2 slowly changing dimensions
• List job and stage best practices