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DataStage Concepts

• Data Warehouse Concepts, Design.
• Need of Data Warehouse.
• Introduction to OLTP, ETL and OLAP Systems.
• Data Warehousing Architecture.
• Dimensional Modeling.
• Data Marts and ODS.
• Star Schema and Snowflake Schema.
• Types of Fact and Dimension Tables.
• Testing of Data warehouse.
• FAQ’s.
Oracle Concepts:

• Introduction to Oracle.
• Data Types.
• Select statement usage.
• Joins.
• Sub Queries.
• Performance Tuning Tips & Tricks.
• FAQ’s.
Datastage - Introduction:

• Introduction to ETL.
• ETL Architecture.
• Datastage Architecture.
• Installation & Configuration of Datastage.
• Creation of the Project.

Datastage - Transforming Data:

• Using the Active stages and passive stages.
• Example of each Transformation available.
• Working with Relational Data.
• Slowly Changing Dimensions.
• Performance tuning techniques.
• Handle errors and exceptions.
• Stage Variables, Derivations and Constraints.
• Functions.

Datastage - Platform Architecture:


• Describing configuration files.
• Defining Environmental Variables.
• Defining Job level parameters.
• Describing Runtime column propagations.
• Exporting and importing the jobs.
• Clear the logs and Cleanup the Resources.
• Job Sequences and Job Activity.
Other Advantages
• Real-time Scenarios.
• Deployment Process.
• Project Experience.
• Resume Preparation.
• Mock Interviews.
• FAQ’s.
• Job Assistance

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