Sunday, 28 April 2013

Datastage Training

Datastage Course Curriculum

   Overview of the Data Stage
  • Introduction to Data Warehousing
  • What is Data Warehousing?
  • Who needs Data Warehousing?
  • Why Data Warehouse is required?
  • Types of Systems (OLTP, DSS, OLAP)
  • Maintenance of Data Warehouse
  • Data Warehousing Life Cycle
   Data Warehousing Architecture
  • Source
  • Integration Layer
  • Staging Area
  • Target
  • Analysis & Reporting
  • IBM WEBSHPERE DATA STAGE VERSION 8.1 Contents
  • Introduction about Data Stage
  • IBM Information Sever architecture
  • Data stage within the IBM Information Sever architecture
  • Difference between Server Jobs and Parallel Jobs
  • Difference between Pipeline and Partition Parallelism
  • Partition techniques (Round Robin, Random, Hash, Entire, Same, Modules, Range, DB2, Auto)
  • Configuration file
  • Difference between SMP/MPP Architecture
  • Data stage components (Server / Client components)
  • Package installer
   Using Controls
  • Layouts
  • Phase and Checkpoint
  • Project and Sandbox
  • Sub graphs
  • Deadlocks
  • Continuous Flows
  • Interpreting the Log File
  • Monitoring the Graph
  • Wrapper Scripts
  • Brief intro about EME
  • Brief intro about Shop For Data (SFD)
  • Brief intro about Conduct>It
  • Brief intro about Data Profiler

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