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Interactive data analytics: the new frontier

Published: 27 August 2015 Publication History

Abstract

Data analytics often involves data exploration, where a data set is repeatedly analyzed to understand root causes, find patterns, or extract insights. Such analysis is frequently bottlenecked by the underlying data processing system, as analysts wait for their queries to complete against a complex multilayered software stack. In this talk, I'll describe some exploratory analytics applications we've build in the MIT database group over the past few years, and will then describe some of the challenges and opportunities that arise when building more efficient data exploration systems that will allow these applications to become truly interactive, even when processing billions of data points.

Cited By

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  • (2017)Time-aware trustworthiness ranking prediction for cloud services using interval neutrosophic set and ELECTREKnowledge-Based Systems10.5555/3163580.3163650138:C(27-45)Online publication date: 15-Dec-2017
  • (2016)Towards the Realization of Multi-dimensional Elasticity for Distributed Cloud SystemsProcedia Computer Science10.1016/j.procs.2016.08.27697(14-23)Online publication date: 2016

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cover image ACM Conferences
SoCC '15: Proceedings of the Sixth ACM Symposium on Cloud Computing
August 2015
446 pages
ISBN:9781450336512
DOI:10.1145/2806777
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 August 2015

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SoCC '15
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SoCC '15: ACM Symposium on Cloud Computing
August 27 - 29, 2015
Hawaii, Kohala Coast

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SoCC '15 Paper Acceptance Rate 34 of 157 submissions, 22%;
Overall Acceptance Rate 169 of 722 submissions, 23%

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Cited By

View all
  • (2017)Time-aware trustworthiness ranking prediction for cloud services using interval neutrosophic set and ELECTREKnowledge-Based Systems10.5555/3163580.3163650138:C(27-45)Online publication date: 15-Dec-2017
  • (2016)Towards the Realization of Multi-dimensional Elasticity for Distributed Cloud SystemsProcedia Computer Science10.1016/j.procs.2016.08.27697(14-23)Online publication date: 2016

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