IBM InfoSphere - IBM KM204G - IBM InfoSphere DataStage Essentials (v11.5)

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Termin:

2.690,00 € *

zzgl. MwSt.

Preis inkl. gesetzlicher MwSt.: 3.201,10 €
IBM KM204G - IBM InfoSphere DataStage Essentials (v11.5) Die Unterlagen sind in englischer... mehr

IBM KM204G - IBM InfoSphere DataStage Essentials (v11.5)

Die Unterlagen sind in englischer Sprache, die Kurssprache ist Deutsch.
Zielgruppe: Project administrators and ETL developers responsible for data extraction and transformation using DataStage.
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.
Hinweis: Dieses Seminar wird in Zusammenarbeit mit dem offiziellen Partner des IBM Global Training Providers Global Knowledge: Integrata AG oder dem IBM Education Delivery und IBM Sales Partner von Arrow ECS: Fast Lane Institute for Knowledge Transfer GmbH durchgeführt.

Inhalt

Key topics:
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
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

Voraussetzungen

Basic knowledge of Windows operating system / Familiarity with database access techniques.

Zielgruppe

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

Zielsetzung

See contents.