The Future of Cloud Data: Challenges and Research Opportunities

Peter D. Bailis
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Abstract

The last several years have seen the creation of hundreds of billions of dollars in market value ? including the largest software IPO of all time ? centered around one technology category: cloud data. While cloud data is not new, the rate of adoption across almost every industry and the associated pace of development around all aspects of cloud data (from pipelines to extract-load-transform (ELT) tools to storage and analytics) are unprecedented. In this talk, I'll present a research-oriented perspective on the future of cloud data that combines my experiences as an academic at Stanford and as a startup founder and CEO at Sisu Data. My goal is to provide an overview of the seismic changes in the cloud data landscape that--in my opinion--have yet to receive sufficient attention from research, and to highlight several tantalizing research opportunities in systems and databases that result.
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云数据的未来:挑战与研究机遇
在过去的几年里,创造了数千亿美元的市场价值。包括有史以来最大的软件IPO ?围绕一个技术类别:云数据。虽然云数据并不新鲜,但几乎每个行业的采用率以及围绕云数据各个方面(从管道到提取-负载-转换(ELT)工具,再到存储和分析)的相关开发速度都是前所未有的。在这次演讲中,我将结合我作为斯坦福大学的学者和Sisu data的创业公司创始人兼首席执行官的经历,从一个以研究为导向的角度来阐述云数据的未来。我的目标是概述云数据领域的巨大变化,在我看来,这些变化尚未得到研究的足够关注,并强调由此产生的系统和数据库中的几个诱人的研究机会。
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