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

This is an online 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 course material.

This course works with Information Server V8.7

In this course, you will learn about the features of IBM InfoSphere DataStage V8 and learn how to build and run DataStage Extract, Transform and Load (ETL) jobs. Also covered will be information on DataStage V8.1 in its IBM Information Server environment. You will learn how to build DataStage parallel jobs that read and write data to and from a variety of data stores including sequential files, data sets, and relational tables. Additionally, you will learn how to build parallel jobs that process data in a variety of ways: business transformations, data filtering, data combining, data generation, sorting, and aggregating.

This course replaces course IBM InfoSphere DataStage Essentials V8 - ILO (3M200NO). This is the Instructor-Led Online version of Classroom course IBM InfoSphere DataStage Essentials V8.7

(KM201NO), Self-Paced Virtual Course DataStage Essentials - SPVC (2I444NO), and Web-based course DataStage Essentials - Web Based (1I444NO).

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

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You should have:

• Knowledge of the Windows OS
• Familiarity with Open Database Connectivity (ODBC) and relational 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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• Deployment
• Administration console
• Designer
• Director
• Administrator
• Accessing sequential data
• Retrive relational data using connectors
• Combining data
• Transforming data
• Repository
• Job control
• Metadata
• Parallel framework
• Complex Flat File stage
• Slowly Changing Dimensions
• MQ Connector
• Performance Analyzer and Resource Estimator utilities

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