71 percent of data scientists believe their jobs have grown more difficult
Interesting study and observations on Data Scientists suffering from increasing difficulty with data, systems and parallelism for analytics. But this is partly brought on by trying to self-build from a diverse set of components that do not always fit particularly well or at least need more than a good nudge to click together. Analytics has to move to parallelism to cope with increasing volume and variety and keep pace with velocity of business needs – but the parallelism in Hadoop and Spark etc. is not refined or complete enough to easily support complex analytics.
Paradigm4 also found that 35 percent of data scientists who tried Hadoop or Spark have stopped using it.
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