InfoSphere DataStage Training





Datastage Essentials and Advanced Concepts

DataStgae Architecture
DataStage Clients - Administrator, Designer, Director, Repository
Types of Jobs
Design Elements of Parallel Jobs
Pipeline Parallelism
Partition Parallelism
Three-Node Partitioning
Job Design versus Execution
Architectural Setup Options
Setting Up a New DataStage Environment
Work on Projects and Jobs
Passive Stages
Import Table Definitions
Active Stages
Advanced Concepts When Building Jobs
The Business Use-Case Scenario
Assess a Previously Built Job
Assess Another Job
Create A Job From Scratch
Modify An Existing Job
Control the Jobs          
Testing
Extracting and loading data
Transforming and filtering data
Performing lookups in Datastage
Implementing ETL process in Datastage
Datastage jobs real-life solutions
Performance Analyzer and Resource Estimator utilities  
Slowly Changing Dimensions
DataStage Command Line ( dsjob n all )
DataStage job monitoring from Linux


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