Best Practices for coding in Datastage

Post questions here relative to DataStage Enterprise/PX Edition for such areas as Parallel job design, Parallel datasets, BuildOps, Wrappers, etc.

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tanaya.deshpande@tieto.co
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Best Practices for coding in Datastage

Post by tanaya.deshpande@tieto.co »

Can any one please send

Best Practices for coding in Datastage.

For example.
1)Null handling must be done.
2)Parameters shud not be hard coded.
jwiles
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Re: Best Practices for coding in Datastage

Post by jwiles »

Best Practices are rarely as simple as the examples you mention, quite often are dependent upon the situation.

1) Null handling must be done to examine and manipulate nullable columns within a transformer stage.
2) Parameters which are likely to change value from run to run, or over time, should not be hardcoded.

IBM has two redbooks which provide job design best/standard practices for DataStage development and are available as PDF files from the Redbooks website www.redbooks.ibm.com

"IBM InfoSphere DataStage Data Flow and Job Design" #SG247576
"InfoSphere DataStage Parallel Framework Standard Practices" #SG247830

Both are aimed at the parallel framework and not DS Server.

Regards,
- james wiles


All generalizations are false, including this one - Mark Twain.
tanaya.deshpande@tieto.co
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Post by tanaya.deshpande@tieto.co »

Thank u very much :)
kduke
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Post by kduke »

Most of the Redbooks are free to download as PDFs.
Mamu Kim
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