A lot depends on your context as well. If I'm using Spark _for analysis_, I
frequently use python; it's a starting point, from which I can then
leverage pandas, matplotlib/seaborn, and other powerful tools available on
top of python.
If the Spark outputs are the ends themselves, rather than the me
; Thanks
>
> Dr Mich Talebzadeh
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Hello all —
tl;dr: I’m having an issue running spark-shell from my laptop (or other
non-cluster-affiliated machine), and I think the issue boils down to
usernames. Can I convince spark/scala that I’m someone other than $USER?
A bit of background: our cluster is CDH 5.4.8, installed with Cloudera
