Course Description
This unique 4-day IBM InfoSphere Advanced Datastage bootcamp training is designed to introduce advanced job development techniques in DataStage. This advanced course is for experienced developers seeking training in more advanced techniques and who seek an understanding of the parallel framework architecture. This course combines InfoSphere Advanced DataStage – Parallel Framework (3-days) and InfoSphere DataStage – Advanced Data Processing (2-days). Materials and environment for hands-on labs provided.
Course Outcomes
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
Course Summary
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Testimonials
Hands-down the best technical training I have taken! The methods of progressively building reports, adding complexity and features as time goes on, was fantastic.
, Cirrus Aircraft
Without a doubt one of the best professional development courses I’ve taken. I would highly recommend.
, KPERS
The course was comprehensive and interactive, and the trainer really understood the content. I have been able to implement much of what I learned into my daily work activities and have saved a lot of time.
, Advocate Health Care
Course Modules
- Module 1: Introduction to the Parallel Framework Architecture
- Module 2: Compilation and Execution
- Module 3: Partitioning and Collecting Data
- Module 4: Sorting Data
- Module 5: Buffering in Parallel Jobs
- Module 6: Parallel Framework Data Types
- Module 7: Reusable components
- Module 8: Advanced Transformer Logic
- Module 9: Extending the Functionality of Parallel Jobs
- Module 10: Accessing Databases (start if there is time)
- Module 11: Processing XML Data
- Module 12: Slowly Changing Dimensions Stages
- Module 13: Best Practices
