The Beckman Report on Database Research

The Beckman Report on Database Research
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DOI:
10.1145/2694428.2694441
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发表时间:
2014-12
期刊:
SIGMOD Rec.
影响因子:
--
通讯作者:
D. Abadi;R. Agrawal;A. Ailamaki;M. Balazinska;P. Bernstein;M. Carey;S. Chaudhuri;Jeffrey Dean;A. Doan;M. Franklin;J. Gehrke;L. Haas;A. Halevy;J. Hellerstein;Y. Ioannidis;H. V. Jagadish;Donald Kossmann;S. Madden;S. Mehrotra;Tova Milo;J. Naughton;R. Ramakrishnan;V. Markl;Christopher Olston;B. Ooi;C. Ré;Dan Suciu;M. Stonebraker;Todd Walter;J. Widom
D. Abadi;R. Agrawal;A. Ailamaki;M. Balazinska;P. Bernstein;M. Carey;S. Chaudhuri;Jeffrey Dean;A. Doan;M. Franklin;J. Gehrke;L. Haas;A. Halevy;J. Hellerstein;Y. Ioannidis;H. V. Jagadish;Donald Kossmann;S. Madden;S. Mehrotra;Tova Milo;J. Naughton;R. Ramakrishnan;V. Markl;Christopher Olston;B. Ooi;C. Ré;Dan Suciu;M. Stonebraker;Todd Walter;J. Widom
中科院分区:
其他
文献类型:
--
作者:
D. Abadi;R. Agrawal;A. Ailamaki;M. Balazinska;P. Bernstein;M. Carey;S. Chaudhuri;Jeffrey Dean;A. Doan;M. Franklin;J. Gehrke;L. Haas;A. Halevy;J. Hellerstein;Y. Ioannidis;H. V. Jagadish;Donald Kossmann;S. Madden;S. Mehrotra;Tova Milo;J. Naughton;R. Ramakrishnan;V. Markl;Christopher Olston;B. Ooi;C. Ré;Dan Suciu;M. Stonebraker;Todd Walter;J. Widom

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每隔几年,一群数据库研究人员就会相聚,讨论数据库研究的现状、其对实践的影响以及重要的新方向。本报告总结了2013年10月14日至15日在加利福尼亚州欧文市举行的第八次此类会议的讨论内容和结论。报告指出,大数据现已成为我们这个时代的一个决定性挑战,而数据库研究界处于独特的地位来应对这一挑战,拥有产生变革性影响的巨大机遇。为此,报告建议对五个研究领域给予更多关注:可扩展的大/快速数据基础设施;应对数据管理领域的多样性;数据的端到端处理和理解;云服务;以及管理人员在数据生命周期中的不同角色。
Every few years a group of database researchers meets to discuss the state of database research, its impact on practice, and important new directions. This report summarizes the discussion and conclusions of the eighth such meeting, held October 14- 15, 2013 in Irvine, California. It observes that Big Data has now become a defining challenge of our time, and that the database research community is uniquely positioned to address it, with enormous opportunities to make transformative impact. To do so, the report recommends significantly more attention to five research areas: scalable big/fast data infrastructures; coping with diversity in the data management landscape; end-to-end processing and understanding of data; cloud services; and managing the diverse roles of people in the data life cycle.