IBM InfoSphere DataStage Essentials (v11.5)

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 with only administrative functions which are relevant to DataStage developers are fully discussed. In this course, you will learn how to create parallel jobs that access sequential and relational data and combine and transform the data using functions and other job components.

Note: While class exercises are performed within an InfoSphere DataStage v11.5 environment, our expert instructors can provide guidance on all versions and their differences.

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DataStage uses
Information Server architecture and DataStage options
Using the Information Server Web Console
Import and export DataStage objects
Design, compile, run, and monitor DataStage parallel jobs
Design jobs that read and write to sequential files
DataStage parallel processing architecture
Design jobs that combine data using joins and lookups and that sort and aggregate data
Implement complex business logic
Debug DataStage jobs

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Virtual Classroom Live 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

Basic knowledge of Windows operating system
Familiarity with database access techniques

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

IBM InfoSphere DataStage v11.5 - Advanced Data Processing

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IBM InfoSphere DataStage Essentials (v11.5)

Virtual Classroom Live 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

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

Course Delivery