The Era of Big Spatial Data: Challenges and Opportunities

Ahmed Eldawy, Mohamed F Mokbel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

This seminar describes the state-of-the-art research in the area of big spatial data and it consists of four parts. Part I gives a background about big spatial data and the limitations of traditional systems in handling such data. Part II gives an overview of the four main components that constitute a system for big spatial data, namely, language, indexing, query processing, and visualization. In part III, we delve into the details of each of these four components and describe the recent research efforts in each component while highlighting the open research problems. Finally, part IV wraps up the seminar by describing case studies of systems and end-user applications for big spatial data. This part describes how the four components are implemented in these systems and how they are used in end-user applications.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE 16th International Conference on Mobile Data Management, MDM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-10
Number of pages4
ISBN (Electronic)9781479999729
DOIs
StatePublished - Sep 11 2015
Event16th IEEE International Conference on Mobile Data Management, MDM 2015 - Pittsburgh, United States
Duration: Jun 15 2015Jun 18 2015

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
Volume2
ISSN (Print)1551-6245

Other

Other16th IEEE International Conference on Mobile Data Management, MDM 2015
CountryUnited States
CityPittsburgh
Period6/15/156/18/15

Keywords

  • Big Data
  • Big Spatial Data
  • HBase
  • Hadoop
  • Hive
  • Impala
  • MapReduce
  • Spark

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