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IBM InfoSphere DataStage Essentials 9.1


Course Description


Overview

This course is designed to introduce ETL developers to DataStage 9.1.  

Audience

This is a basic course for project administrators and ETL developers responsible for data extractions and transformations using DataStage.

Prerequisites

You should have:
  • Basic knowledge of the Windows operating system and
  • Some familiarity with database access techniques

Key topics

  • Unit 1 - Introduction to DataStage
  • Unit 2 - Deployment
  • Unit 3 - DataStage Administration
  • Unit 4 - Working with Metadata
  • Unit 5 - Creating Parallel Jobs
  • Unit 6 - Accessing Sequential Data
  • Unit 7 - Partitioning and Collecting
  • Unit 8 - Combining Data
  • Unit 9 - Group Processing Stages
  • Unit 10 - Transformer Stage
  • Unit 11 - Repository Functions
  • Unit 12 - Working with Relational Data
  • Unit 13 - Job Control
  • Unit 14 - Intersecting with Other Information Server Products

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
  • Read and write to database tables using DataStage ODBC and DB2 Connector stages
  • Work with the Repository functions such as search and impact analysis
  • Build job sequences that controls batches of jobs
  • Understand how FastTrack and Metadata Workbench can be profitably used with DataStage

Course Duration

4 days
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