Kurs informasjon: IBM InfoSphere DataStage Essentials V8.7 (SPVC)

This is the Self-paced Virtual version of Classroom course IBM InfoSphere DataStage Essentials V8.7 (KM201NO), Instructor-led Online course IBM InfoSphere DataStage Essentials V8.7 - ILO (3M201NO) and Web-based course IBM InfoSphere DataStage Essentials V8.7 - WBT (1M201NO).

This is a self-paced online course. The average amount of time to complete this course is 32 hours. Once you receive your access information, you will have 60 days to complete this course. Please do not make travel arrangements for this course. After you receive confirmation that you are enrolled, you will be sent further instructions to access the course.

This course is designed to introduce ETL developers to DataStage 8.7.

The self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day. Once you have accessed the course, instructor help is available via the course forum Monday through Friday; questions will be responded to within 24 hours.

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

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Those taking this course should have basic knowledge of the Windows operating system and some familiarity with database access techniques.

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• 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

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• 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

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