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DataStage Interview Questions


DataStage Interview Questions

Questions: 390
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 DataStage Interview Questions
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Latest Answer: There are several performance techniques are avilable to help run the job faster1. Eliminate unwanted data and columns as early as possible in your job design, each unwanred column and data  requires extra cpu utilization and memory.2. Eliminate ...

Latest Answer: the two type of hash file are, 1) static and 2) dynamic,,,,, the dynamic hash file is again subdivided in to Generic and Specific ...
Read Answers (4) | Asked by : yukthi

View Question | Asked by : Girolamo Falbo
Tags : AS400

Why job sequence is use for? what is batches?what is the difference between job sequence and batches?
Read Answers (2) | Asked by : prashant

Latest Answer: Unit Testing:                 In Datastage senario Unit Testing is the technique of testing the individual Datastage jobs for its functionality.Integrating Testing:                 When ...
Read Answers (1) | Asked by : izack

Latest Answer: Select the most appropriate partitioning method based on the data analysis. Hash partitoning performs well in most of the cases. ...
Read Answers (2) | Asked by : yukthi

Latest Answer: Hash file is datastage internal file. Data will be stored on computer memory..and works on key column. So retrieval will be faster when compare to hitting the database. ...
Read Answers (2) | Asked by : yukthi

Latest Answer: A complex flat file can be used to read the data at the intial level. By using CFF, we can read ASCII or EBCDIC (Extended Binary coded Decimal Interchage Code) data. We can select the required columns and can omit the remaining. We can collect the rejects ...
Read Answers (2) | Asked by : BHARETH REDDY

Latest Answer: Here in server we have to use some stages like link partitioner, link coll, inter process.. to implement ll'lism. And sometimes we have to use lot of stages to implement specific logic bcoz of few stages.. whereas in ll'll we have lot ...
Read Answers (6) | Asked by : prasanna

Latest Answer: A job with large quantities of data can be partitioned using partition parallelism not with the pipeline parallelism and at end of the job it could be collected and write as a single data source. The time taken to design a job is less when compared with ...

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