IBM InfoSphere DataStage Essentials (v11.5) Training in Fishers
Enroll in or hire us to teach our IBM InfoSphere DataStage Essentials (v11.5) class in Fishers, Indiana by calling us @303.377.6176. Like all HSG
classes, IBM InfoSphere DataStage Essentials (v11.5) may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it
is scheduled: Public Training Classes
Provided there are enough attendees, IBM InfoSphere DataStage Essentials (v11.5) may be taught at one of our local training facilities.
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We offer private customized training for groups of 3 or more attendees.
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Course Description |
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| This course enables the project administrators and ETL developers to
acquire the skills necessary to develop parallel jobs in DataStage. The
emphasis is on developers. Only administrative functions that are
relevant to DataStage 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 Length: 4 Days
Course Tuition: $2600 (US) |
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Prerequisites |
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| Basic knowledge of Windows operating system Familiarity with database access techniques | |
Course Outline |
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Objectives:
. Describe the uses of DataStage and the DataStage workflow
. Describe the Information Server architecture and how DataStage fits within it
. Describe the Information Server and DataStage deployment options
. Use the Information Server Web Console and the DataStage Administrator client to create . DataStage users and to configure the DataStage environment
. Import and export DataStage objects to a file
. Import table definitions for sequential files and relational tables
. Design, compile, run, and monitor DataStage parallel jobs
. Design jobs that read and write to sequential files
. Describe the DataStage 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 DataStage Transformer stage
. Debug DataStage jobs using the DataStage PX Debugger
Course Outline:
1. Introduction to DataStage
2. Deployment
3. DataStage Administration
4. Work with Metadata
5. Create Parallel Jobs
6. Access Sequential Data
7. Partitioning and Collecting Algorithms
8. Combine Data
9. Group Processing Stages
10. Transformer Stage
11. Repository Functions
12. Work with Relational Data
13. Control Jobs |
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