Small data (panel)

Oliver Kennedy; D. Richard Hipp; Stratos Idreos; Amélie Marian; Arnab Nandi; Carmela Troncoso; Eugene Wu

doi:10.1109/ICDE.2017.216

Small data (panel)

Oliver Kennedy, D. Richard Hipp, Stratos Idreos, Amélie Marian, Arnab Nandi, Carmela Troncoso, Eugene Wu

School of Arts and Sciences, Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

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".

Original language	English (US)
Title of host publication	Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017
Publisher	IEEE Computer Society
Pages	1475-1476
Number of pages	2
ISBN (Electronic)	9781509065431
DOIs	https://doi.org/10.1109/ICDE.2017.216
State	Published - May 16 2017
Event	33rd IEEE International Conference on Data Engineering, ICDE 2017 - San Diego, United States Duration: Apr 19 2017 → Apr 22 2017

Publication series

Name	Proceedings - International Conference on Data Engineering
ISSN (Print)	1084-4627

Other

Other	33rd IEEE International Conference on Data Engineering, ICDE 2017
Country/Territory	United States
City	San Diego
Period	4/19/17 → 4/22/17

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Information Systems

Access to Document

10.1109/ICDE.2017.216

Cite this

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title = "Small data (panel)",

abstract = "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{"}.",

author = "Oliver Kennedy and Hipp, {D. Richard} and Stratos Idreos and Am{\'e}lie Marian and Arnab Nandi and Carmela Troncoso and Eugene Wu",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 33rd IEEE International Conference on Data Engineering, ICDE 2017 ; Conference date: 19-04-2017 Through 22-04-2017",

year = "2017",

month = may,

day = "16",

doi = "10.1109/ICDE.2017.216",

language = "English (US)",

series = "Proceedings - International Conference on Data Engineering",

publisher = "IEEE Computer Society",

pages = "1475--1476",

booktitle = "Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017",

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}

Kennedy, O, Hipp, DR, Idreos, S, Marian, A, Nandi, A, Troncoso, C & Wu, E 2017, Small data (panel). in Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017., 7930113, Proceedings - International Conference on Data Engineering, IEEE Computer Society, pp. 1475-1476, 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, United States, 4/19/17. https://doi.org/10.1109/ICDE.2017.216

TY - GEN

T1 - Small data (panel)

AU - Kennedy, Oliver

AU - Hipp, D. Richard

AU - Idreos, Stratos

AU - Marian, Amélie

AU - Nandi, Arnab

AU - Troncoso, Carmela

AU - Wu, Eugene

PY - 2017/5/16

Y1 - 2017/5/16

N2 - 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".

AB - 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".

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U2 - 10.1109/ICDE.2017.216

DO - 10.1109/ICDE.2017.216

M3 - Conference contribution

AN - SCOPUS:85021189406

T3 - Proceedings - International Conference on Data Engineering

SP - 1475

EP - 1476

BT - Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017

PB - IEEE Computer Society

T2 - 33rd IEEE International Conference on Data Engineering, ICDE 2017

Y2 - 19 April 2017 through 22 April 2017

ER -

Small data (panel)

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

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