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Re:Using Spark and Zeppelin to Process Big Data on Kubernete... by boulos on Thursday March 31, 2016 @12:18AM (#11394949)
What's wrong with say Dataproc (https://cloud.google.com/dataproc/) instead of roll your own Spark? Or our (just announced) Machine Learning service based on TensorFlow (https://cloud.google.com/ml/)?

I'm all for roll your own if you're building one of these services or have existing infrastructure, but I personally like the simplicity of "here, you set this up".

Disclosure: I work at Google on Compute Engine (which underlies all of these).

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