Can you please provide me the details of the IBM Data stage Courses as i am looking to get the admission to the course?

IBM is the International Business Machines and is among the world’s best software developer company.

As you are looking to get the details of the data stage course at the IBM so here are the details that can help you-

Objectives of the course at the IBM -

Data Stage v8 Configuration (5%)

By this course you will be able Describe how to properly configure DataStage V.8.0.

Also you can identify tasks that are required to create and configure a project to be used for V.8.0 jobs.

Given a configuration file, identify its components and its overall intended purpose.

2. Meta Data (5%)

Demonstrate knowledge of Orchestrate schema.

Identify the method of importing metadata.

Given a scenario, demonstrate knowledge of runtime column propagation.

3. Persistent Storage (10%)

Given a scenario, explain the process of importing/exporting data to/from framework (e.g., sequential file, external source/target).

Given a scenario, describe proper use of a sequential file.

Given a scenario, describe proper usage of CFF (native not plug-in).

Describe proper usage of FileSets and DataSets.

Describe use of FTP stage for remote data

To get the complete information of the objectives please go through the word file that I am attaching here –

Objectives of the data stage course at the IBM –

1. DataStage v8 Configuration (5%)


Describe how to properly configure DataStage V.8.0.

Identify tasks required to create and configure a project to be used for V.8.0 jobs.

Given a configuration file, identify its components and its overall intended purpose.


2. MetaData (5%)


Demonstrate knowledge of Orchestrate schema.

Identify the method of importing metadata.

Given a scenario, demonstrate knowledge of runtime column propagation.


3. Persistent Storage (10%)


Given a scenario, explain the process of importing/exporting data to/from framework (e.g., sequential file, external source/target).

Given a scenario, describe proper use of a sequential file.

Given a scenario, describe proper usage of CFF (native not plug-in).

Describe proper usage of FileSets and DataSets.

Describe use of FTP stage for remote data.

Identify importing/exporting of XML data.


4. Parallel Architecture (10%)


Given a scenario, demonstrate proper use of data partitioning and collecting.

Given a scenario, demonstrate knowledge of parallel execution.


5. Databases (10%)


Given a scenario, demonstrate proper selection of database stages and database specific stage properties.

Identify source database options.

Given a scenario, demonstrate knowledge of target database options.

Given a scenario, describe how to design v.8.0 ETL job that will extract data from a DBMS, combine with data from another source and load to another DBMS target.

Demonstrate knowledge of working with NLS database sources and targets.


6. Data Transformation (10%)


Given a scenario, demonstrate knowledge of default type conversions, output mappings, and associated warnings.

Given a scenario, demonstrate proper selections of Transformer stage vs. other stages.

Given a scenario, describe Transformer stage capabilities (including: stage variables, link variables, DataStage macros, constraints, system variables, link ordering, @PART NUM, functions.

Demonstrate the use of Transformer stage variables (e.g., to identify key grouping boundaries on incoming data).

Identify process to add functionality not provided by existing DataStage stages. (e.g., wrapper, buildops, user def functions/routines).

Given a scenario, demonstrate proper use of SCD stage

Demonstrate job design knowledge of using RCP (modify, filter, dynamic transformer).


7. Job Components (10%)


Demonstrate knowledge of Join, Lookup and Merge stages.

Given a scenario, demonstrate knowledge of SORT stage.

Given a scenario, demonstrate understanding of Aggregator stage.

Describe proper usage of change capture/change apply.

Demonstrate knowledge of Real-time components.


8. Job Design (10%)


Demonstrate knowledge of shared containers.

Given a scenario, describe how to minimize SORTS and repartitions.

Demonstrate knowledge of creating restart points and methodologies.

Given a scenario, demonstrate proper use of standards.

Explain the process necessary to run multiple copies of the source (job multi-instance).

Demonstrate knowledge of real-time vs. batch job design.


9. Monitoring and Troubleshooting (10%)


Given a scenario, demonstrate knowledge of parallel job score.

Given a scenario, identify and define environment variables that control DataStage v.8.0 with regard to added functionality and reporting.

Given a process list (scenario), identify conductor, section leader, and player process.

Given a scenario, identify areas that may improve performance (e.g., buffer size, repartitioning, config files, operator combination, etc.).

Demonstrate knowledge of runtime metadata analysis and performance monitoring.


10. Job Management and Deployment (10%)


Demonstrate knowledge of advanced find.

Given a scenario, demonstrate knowledge and the purpose of impact analysis.

Demonstrate knowledge and purpose of job compare.

Given a scenario, articulate the change control process.


11. Job Control and Runtime Management (10%)


Demonstrate knowledge of message handlers.

Identify the use of dsjob command line utility.

Given a scenario, demonstrate ability to use job sequencers (e.g., exception hunting, re-startable, dependencies, passing return value from routing, parameter passing and job status).

Test information:
Number of questions: 70
Time allowed in minutes: 90
Required passing score: 75%
Test languages: English, Japanese

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