Small Data (Panel)

被引：4

作者：

Kennedy, Oliver ^{[1
]}

Hipp, D. Richard ^{[2
]}

Idreos, Stratos ^{[3
]}

Marian, Amelie ^{[4
]}

Nandi, Arnab ^{[5
]}

Troncoso, Carmela ^{[6
]}

Wu, Eugene ^{[7
]}

机构：

[1] Univ Buffalo, Buffalo, NY 14260 USA

[2] Wyrick & Co Inc, Charlotte, NC USA

[3] Harvard, Cambridge, MA USA

[4] Rutgers, New Brunswick, NJ USA

[5] Ohio State Univ, Columbus, OH 43210 USA

[6] IMDEA Software Inst, Madrid, Spain

[7] Columbia Univ, Comp Sci, New York, NY 10027 USA

来源：

2017 IEEE 33RD INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2017) | 2017年

关键词：

D O I：

10.1109/ICDE.2017.216

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Data is becoming increasingly personal. Individuals regularly interact with a wide variety of structured data, from SQLite databases on phones, to HR spreadsheets, to personal sensors, to open government data appearing in news articles. Although these workloads are important, many of the classical challenges associated with scale and Big Data do not apply. This panel brings together experts in a variety of fields to explore the new opportunities and challenges presented by "Small Data"

引用

页码：1475 / 1476

页数：2

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