Join Lynn Langit for an in-depth discussion in this video Analyst to..., part of Cloud Computing Career Paths and Certifications: First Steps.
- [Instructor] The next mapping that I see occurring in the enterprise, and occasionally in startups, is somebody who's hired with an analytics or a stats background, sometimes somebody that has experience, or maybe somebody that's just graduated. That's actually really common too, as machine learning becomes more prevalent in the university curricula. That person is hired to be an analyst. Maybe they work in R, maybe they work in some specific scientific language for the domain. And then, when they're working with the Cloud team, they find that they can either apply their data science skills, using one of the Cloud native languages, often R, or a productization of R, Revolution Analytics in the case of Microsoft Azure, or the Julia Language, which scales R in some situations, or, perhaps, using Python and some of the scientific libraries for Python.
As I mentioned earlier, NumPy and SciPy, or some proprietary language. I've seen that as well. So, I see analysts move into the Cloud data science role really frequently. Another thing that I see that's interesting is analysts kind of go beyond the analytic part, and they get involved in building the pipeline. So they get involved in moving their processing of data from N number of machines to N number of machines and services, and these would be virtual machines in the Cloud. As Microsoft, Google, and Amazon come out with new analytic services, they decide, with the developer and DevOps teams, which of these services are most useful.
And you've been hearing this theme about these different roles working together in small teams. And this is something that I'm seeing with Cloud application development. In the enterprise, I often saw people be very siloed, where the analysts would sit in one area, and the DevOps or the network admins would sit in an another area, and the developers sit in another area. Because so much is new in Cloud, there's so many new services, and new possibilities, a trend that I'm seeing is a representative from each these domains or teams actually working together on these various projects because of the newness of all the services.
And then I see this particularly around data analytics.
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