By DataStage Artifacts, I meant .dsx files that are composed of IBM
InfoSphere DataStage Job definitions. A .dsx file is simply an xml and is
usually light-weight but has metadata within it which makes it risky to do
a code merge unlike Java.
On Friday, February 12, 2016 at 1:52:21 AM UTC-7, Philip Oakley wrote:
> ----- Original Message -----
> *Sent:* Friday, February 12, 2016 2:19 AM
> *Subject:* [git-users] GIT as an SCM for DataStage Code Artifacts
> Hello Team,
> There is no easy answer to the question "Which is the most preferred
> Source Control Management System for storing, versioning and maintaining
> DataStage Artifacts?"; not because there are a variety of options but
> because there are so few.
> The first question would be, "What, exactly, are DataStage Artifacts?".
> (a reference to a description would be handy)
> Are they large Mb, Gb; Are they binary or ascii/unicode/etc. text ?
> What are the important factors to you within the data - do you need to
> look at changes, have multiple lines of development, diverse user groups
> going of in their own deirections. Is it source code ?
> I hear that Rational Clear Case, CVS and SVN are viable options but I
> would like to know if any of you have used GIT as a Source Control for
> DataStage artifacts. If yes, did it pose any problems to Deployment
> Git is designed for the storage of text based computer source code where
> there are disparate contributors, it distributes the control from
> 'management' to users and it maintains a verification structure, so that
> management can get some authority back.
> It can, but is not great at, managing large discrete binary artefacts.
> Other horses are better for that course...
> To add more to the context, my aim is to integrate GIT with Atlassian
> Bamboo and Artifactory for Build & Deployment Automation.
> Please share your expert advise and ideas on going about this.
> Many thanks in advance.
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