The era of Big Spatial Data

Ahmed Eldawy, Mohamed F. Mokbel

Research output: Contribution to journalConference articlepeer-review

21 Scopus citations


In this tutorial, we present the recent work in the database community for handling Big Spatial Data. This topic became very hot due to the recent explosion in the amount of spatial data generated by smart phones, satellites and medical devices, among others. This tutorial goes beyond the use of existing systems as-is (e.g., Hadoop, Spark or Impala), and digs deep into the core components of big systems (e.g., indexing and query processing) to describe how they are designed to handle big spatial data. During this 90-minute tutorial, we review the state-of-the-art work in the area of Big Spatial Data while classifying the existing research efforts according to the implementation approach, underlying architecture, and system components. In addition, we provide case studies of full-fledged systems and applications that handle Big Spatial Data which allows the audience to better comprehend the whole tutorial.

Original languageEnglish (US)
Pages (from-to)1992-1995
Number of pages4
JournalProceedings of the VLDB Endowment
Issue number12
StatePublished - Aug 1 2017
Event43rd International Conference on Very Large Data Bases, VLDB 2017 - Munich, Germany
Duration: Aug 28 2017Sep 1 2017

Bibliographical note

Publisher Copyright:
© 2017 VLDB.


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