I agree that in the beginning of the project it’s really good to get everybody in the room due to the amount of communication that needs to happen

I agree that in the beginning of the project it’s really good to get everybody in the room due to the amount of communication that needs to happen. But also, too, email feels almost too slow for these projects. Data scientists are kind of trickling in on insights, and data engineers too, are running into different problems in an ad hoc way as they’re actively working. So we use Slack a lot, I think a lot of people do right now and it’s been pretty successful, because you don’t have to bunch up a bunch of stuff to put into an email like, “Here’s my list of problems today.” Maybe you may have two data scientists talking about an issue and the data engineer is eavesdropping and saying, “Oh hey, by the way, this is how I designed it,” or like, “Oh hey, yeah I can fix that for you real quick. Not going to take me much time at all.” So this more real time communication is good, and I think also too, it’s almost better than in a physical office in some cases too. Even if you’re sitting at a desk, three desks away from the data engineer, you still have to get up and go bother that person. Here, I think I’m actually making the argument that I think Slack and other things like it, may actually be one of the best tools for this thing right now, as the project’s going on. — https://blog.dominodatalab.com/collaboration-data-science-data-engineering-true-false/
    Next → → When queried to unpack the idea of a “data liaison” more and provide additional clarity and whether this person could be a “project manager”, Miner indicated “…in a consulting construct, that both myself and Niels [co-founder] provides in some of our larger projects https://blog.dominodatalab.com/collaboration-data-science-data-engineering-true-false/ ← Previous → 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/
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