If we look at the added functionality or support for different technologies between the 2016 and 2019 releases then clearly there's a lot of learning required to stay up to date; new introductions like Linux, containers, Kubernetes, R, Python, Apache Spark and lots more provide quite a list of new capabilities for DBA's and developers to put to use within their data platforms so gaining a good understanding of these technologies is becoming more and more vital.
But staying up to date can be difficult, especially in a technical landscape that is rapidly evolving as it is in current times but it's also a time where embracing the learning opportunities out there will undoubtedly be massively beneficial for those willing to invest in their career management.
I say "willing" because ultimately it is a choice, and with all the learning material being made available from vendors and from within the community it should be a very straightforward choice to make. Whilst it's not going to be free; it is going to take some time, money or more commonly both, the benefits far outweigh any personal contribution (or if you prefer to view it, sacrifice) that you'll be making.
The main point that I want to put across is that right now, more than ever, it's become absolutely essential for anyone working in a data environment to take ownership of their personal development.
Some may be unsure where to start, which isn't surprising considering the rate of change but that's no reason to simply sit back either. Have a think about some of the factors that go into learning roadmaps; job requirements, your personal career aspirations, areas of interest, new technologies and of course, marketability all need to be considered (yes, the latter does matter) and then map to what training material is out there. It's virtually impossible to not find what you're looking for and if you're stuck for ideas - hey, ask away!
An early SQL conference.
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