What you missed in Big Data: Analytics-as-a-service gaining steam

The ease with which an infrastructure-as-a-service deployment can be scaled makes the public cloud a prime candidate for hosting analytic applications that have to process massive amounts of information. Google Inc. last week moved to make it simpler for customers to take advantage of the benefits with the release of a managed machine learning service for developing data crunching algorithms. The addition is meant to level the playing field against rivals Amazon Inc. and Microsoft Corp., which have provided similar functionality in their public clouds for quite some time now. Google hopes to stand out by enabling analysts to cleanse and filter the information they’re interested in processing using its Dataflow service before running it through their machine learning models. The functionality removes the need to utilize a third party solution for the task,…


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