IBM InfoSphere DataStage Essentials (v11.5) Training in Chula Vista

Enroll in or hire us to teach our IBM InfoSphere DataStage Essentials (v11.5) class in Chula Vista, California 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.

Answers to Popular Questions:

 
Yes, this class can be tailored to meet your specific training needs.
Yes, we provide consulting services.
Yes, group discounts are provided.

Course Description

 
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)

Prerequisites

Basic knowledge of Windows operating system Familiarity with database access techniques

Course Outline

 
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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