There’s little doubt that cloud computing will play an important role in data science for the foreseeable future. The flexible, scalable, on-demand computing power available is an important resource, and as a result, there’s a lot of competition between the providers of this service. Two of the biggest players in the space areAmazon Web Services (AWS) and Google Cloud Platform (GCP).
This article includes a short comparison of distributed Spark workloads in AWS and GCP—both in terms of setup time and operating cost. We ran this experiment with our students at The Data Incubator, a big data training organization that helps companies hire top-notch data scientists and train their employees on the latest data science skills.
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