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DataStage Corporate Training for Wells Fargo - India
Left quotation markTraining is good and learnt a lot of things which I was not aware of. Right quotation mark
Swapna Mamile

Left quotation markTraining is GoodRight quotation mark
Praveen.M.K
Left quotation markGood information on DataStage version 8.0. Also good materials obtained. Thanks Right quotation mark
Devi Mitragotri


Left quotation markThe training is good and informative helped improving our skills. Right quotation mark
Subramanyam
Left quotation markIt was a very good training for us and definately it helped us to gain more knowledge in datastage.. Right quotation mark
Vivek Singh


Left quotation markExcellentRight quotation mark
Tapash Mohanty


Left quotation markKnowledge displayed by trainer was very good. All the doubts were cleared convincingly.Right quotation mark
Gourav Sharma


Left quotation markVery Good . Right quotation mark
Ramesh Nandipalli


Left quotation markNice training given enough information to work and explore Datastage. Thanks. Right quotation mark
Merajul Haque


Left quotation markVery Good Right quotation mark
Anoop Chandar


Left quotation markA good trainer with Great Datastage 8.0 Knowledge . Liked the smallest details that were covered up. Right quotation mark
Nidhi Shah


Left quotation markGood, Excellent. Right quotation mark
Srikanth
Left quotation markGoodRight quotation mark
Ravi Kumar


Left quotation markTraining is very good & helpful for our job activities Right quotation mark
Evani Venkata Rajesh Babu


Left quotation markExcellentRight quotation mark
BhupeshJ.S
Left quotation markTraining was good. Trainer had good knowledge of DataStage & Time was less for practical lessons. Almost all doubts were clarified Right quotation mark
Fejfar .c.p


Left quotation markObject Arena conducted a DatastageTraining for Wells Fargo, Hyderabad in Sep '08.Right quotation mark

 

Major Topics Covered in DataStage

  • Introduction
  • Setting up your DataStage Environment
  • Creating Parallel Jobs
  • Accessing Sequential Data
  • Introduction to Enterprise Edition Architecture
  • Combining Data
  • Transforming Data
  • Sorting and Aggregating Data
  • Partitioning Data
  • Collecting and Sorting Data
  • Compilation and Execution
  • Accessing Relational Data
  • Metadata in Enterprise Edition
  • Buffering in Enterprise Edition
  • Best Practices and Job Design Guidelines
  • Extending Enterprise Edition
  • Job Control
  • Buildops
  • Datastage Hawk