Course Description
This IBM DataStage training course enables the project administrators and ETL developers to acquire the skills necessary to develop parallel jobs in DataStage v11.3/11.5. The emphasis is on developers. Only administrative functions that are relevant to developers are fully discussed. Students will learn to create parallel jobs that access sequential and relational data and combine and transform the data using functions and other job components.
Course Outcomes
At the end of the course, learners will be able to:
- Describe the uses of DataStage and the workflow
- Describe the Information Server architecture and how DataStage fits within it
- Describe the Information Server and deployment options
- Use the Information Server Web Console and the Administrator client to create users and to configure the environment
- Import and export objects to a file
- Import table definitions for sequential files and relational tables
- Design, compile, run, and monitor parallel jobs
- Design jobs that read and write to sequential files
- Describe the parallel processing architecture
- Design jobs that combine data using joins and lookups
- Design jobs that sort and aggregate data
- Implement complex business logic using the Transformer stage
- Debug jobs using the PX Debugger
Course Summary
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Course Modules
- Introduction
- Deployment
- Administration
- Work with Metadata
- Create Parallel Jobs
- Access Sequential Data
- Partitioning and Collecting Algorithms
- Combine Data
- Group Processing Stages
- Transformer Stage
- Repository Functions
- Work with Relational Data
- Control Jobs
Testimonials
“Last week’s Informatica PowerCenter Bootcamp training was really good. It was very practical, and we had the opportunity to try out what was being taught. The trainer was incredibly kind and professional, and since there were only two of us, he was able to give us his full attention. I would definitely recommend this training to anyone.”
- Dilane Azangue, Data Integration Consultant, PTA IT Consulting
“Trainer was amazing. I was worried about staying engaged for 4 days, but the pace and explanation was exceptional! Would love to know what other training he provides.”
- Natalie Chronister, Project Administrator III, Carnegie Mellon University Software Engineering Institute
“Instructor was very passionate about Databricks and helped me to stay engaged. Great pace, great knowledge, and the trainer was fantastic overall :) ”
- Emma Darling, Platform Engineer, Barclays Bank
