IBM InfoSphere DataStage Essentials (v11.5)

Schedule

Start End Duration Location Details
January 04, 2022 January 07, 2022 KDE 3.1 Virtual Classroom (GMT+08:00)
March 08, 2022 March 11, 2022 KDE 3.1 Virtual Classroom (GMT+08:00)
May 10, 2022 May 13, 2022 KDE 3.1 Virtual Classroom (GMT+08:00)
August 08, 2022 August 12, 2022 KDE 3.1 Virtual Classroom (GMT+08:00)
October 03, 2022 October 07, 2022 KDE 3.1 Virtual Classroom (GMT+08:00)

Course Details

IBM InfoSphere DataStage Essentials (v11.5)

Course Code: KM204G 

Duration: 4 days

Prerequisite:

  • Basic knowledge of Windows operating system
  • Familiarity with database access techniques

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 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

Intended Audience:

Project administrators and ETL developers responsible for data extraction and transformation using DataStage.

Course Outlines:

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