Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service

摘要

Recently, we have been witnessing huge advancements in the scale of data weroutinely generate and collect in pretty much everything we do, as well as ourability to exploit modern technologies to process, analyze and understand thisdata. The intersection of these trends is what is called, nowadays, as Big DataScience. Cloud computing represents a practical and cost-effective solution forsupporting Big Data storage, processing and for sophisticated analyticsapplications. We analyze in details the building blocks of the software stackfor supporting big data science as a commodity service for data scientists. Weprovide various insights about the latest ongoing developments and openchallenges in this domain.