Answer / Ved Parkash

One difficult situation that might arise when creating DataStage jobs is dealing with large volumes of data. Handling such large datasets can cause performance issues and require optimization techniques like data partitioning, parallel processing, and data compression.nAnother challenge could be integrating DataStage with other systems or applications, which may require complex transformations or custom code.

WHAT are unix quentios in datastage

2 Answers   TCS,

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If we take 2 tables(like emp and dept),we use join stage and how to improve the performance?

1 Answers  

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wt is the diff b/w odbc and oracle stage

2 Answers   Accenture, HCL,

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what should be ensure to run the sequence job so that if its get aborted in 10th job before 9job should get succeeded?

1 Answers   CTS,

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how to read 100 records at a time in source a) hw is it fr metadata Same and b) if metadata is nt same?

1 Answers   HCL,

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How can i approach to write datastage 7.5 Certification? and how much they will charge for examination .What exactly should i do? Can anyone guide me plz?

2 Answers  

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What are the environmental settings for data stage,while working on parellel jobs?

2 Answers   Satyam,

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parallel jobs run on cluster machines. server jobs run on smp and mpp. What do mean by cluster mechines and SMP and MPP..?

3 Answers  

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hi this is kiran i have one table i want divide the table with two different table like even rows and odd rows how can i do this one tell me plzz

4 Answers  

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How to delete the data in dataset?types of deleting the data in dataset?

4 Answers   HSBC,

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How to display all the duplicate records from the oracle Table?

3 Answers   IBM,

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Hai..,This is Kiran M. What is D/B Change Capture stage and Difference stage?

2 Answers  

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