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I’ve actually heard a project manager say, “You know, any line of code that my developers write to audit what they’re doing, to put stuff in a database, is a line of code that they’re not putting in developing the application

I’ve actually heard a project manager say, “You know, any line of code that my developers write to audit what they’re doing, to put stuff in a database, is a line of code that they’re not putting in developing the application.” And so they frequently encourage a huge technical debt as they’ve got this great application now, but when it comes time for phase two of the project, to do something interesting with the data that this application should have stored somewhere but didn’t, we’re kind of left holding the bag because the application developers were kind of short sighted. And to my mind this is the kind of short term thinking that hinders really good data science. — https://blog.dominodatalab.com/collaboration-data-science-data-engineering-true-false/
    Next → → something that we advise our clients on all the time, and is a major portion that I think takes people by surprise sometimes, is that most organizations is that their default is to treat their data science projects like software engineering projects that they’re currently running at the organization https://blog.dominodatalab.com/collaboration-data-science-data-engineering-true-false/ ← Previous → [it] is a symptom of really bad project management https://blog.dominodatalab.com/collaboration-data-science-data-engineering-true-false/
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