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Having looked at various job requirements, I see that a lot of them require you to be an expert in Hadoop, use Spark but I am wondering how useful are these technologies (due to my lack of understanding)?

It seems that whatever I need to do, I always am able to solve using Google Cloud. For example, I can train models on huge datasets (I've only tried GBs so far) using Cloud ML. I can use BQ/Redshift for data prep and so on.

So my question is, how future proof are Spark/Hadoop, why are they an important skill to learn in 2018 and will they be replaced/getting replaced already?

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    $\begingroup$ Don't waste time on learning technologies like Hadoop and Spark to get a job, but do know the popular languages; e.g., python and SQL. And know the core skills: linear algebra, statistics, machine learning, data structures, algorithms. This is what gets tested in job interviews, not ephemera like Hadoop or Spark. $\endgroup$ – Emre Jun 27 '18 at 18:10

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