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Spark is a terribly inefficient solution to any known/stable data processing or analytics jobs. You gave a typo there. Spark is a terribly inefficient solutio
by mdekkers 9y ago
Spark is a terribly inefficient solution to any known/stable data processing or analytics jobs.
You gave a typo there.
Spark is a terribly inefficient solution to any known/stable data processing or analytics jobs I have ever come across.
There, fixed that for you.
- jack9 9y agoI don't think that's fixed, because it's not what I assert. Any job that is predictable, can be done faster and cheaper with some C (or Go) and ad-hoc delegation to load balanced VMs. Spark is difficult to optimize for consistent processes, poor on resource usage, and requires specialized knowledge. Just pay for someone who has done a little embedded programming and stop creating buzzword jobs because a prototype went to production without comparison.