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 smartphones, 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 language||English (US)|
|Title of host publication||2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|State||Published - Jun 22 2016|
|Event||32nd IEEE International Conference on Data Engineering, ICDE 2016 - Helsinki, Finland|
Duration: May 16 2016 → May 20 2016
|Name||2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016|
|Other||32nd IEEE International Conference on Data Engineering, ICDE 2016|
|Period||5/16/16 → 5/20/16|
Bibliographical notePublisher Copyright:
© 2016 IEEE.
Copyright 2016 Elsevier B.V., All rights reserved.