Cultivating a research agenda for data science
Cultivating a research agenda for data science
复制标题
制定数据科学的研究议程
作者：
C. Mattmann
我描述了一个数据科学的研究议程的基础上，十年的研究和操作工作的数据密集型系统在美国宇航局，南加州大学，并在开源工作的Apache软件基金会的背景下。我的愿景是基于对网格计算架构的理解;基于选择数据移动技术及其在数据系统中的使用的灵活和自动化方法;基于最近出现的用于处理和存储的云计算，以及基于科学算法到数据系统中的不显眼和自动化集成。这些领域的进步都是核心需求，它们将从根本上提高我们对数据科学和大数据的理解。本文确定并强调了我成长为数据科学家的个人经历和观点。
I describe a research agenda for data science based on a decade of research and operational work in data-intensive systems at NASA, the University of Southern California, and in the context of open source work at the Apache Software Foundation. My vision is predicated on understanding the architecture for grid computing; on flexible and automated approaches for selecting data movement technologies and on their use in data systems; on the recent emergence of cloud computing for processing and storage, and on the unobtrusive and automated integration of scientific algorithms into data systems. Advancements in each of these areas are a core need, and they will fundamentally improve our understanding of data science, and big data. This paper identifies and highlights my own personal experience and opinion growing into a data scientist.