Welcome to the Scalable Data Management and Analytics Lab!

Our projects:

Hadoop-GIS, a next generation spatial data warehousing system for high performance spatial queries and analytics.

Recent News

  • September 30, 2014: Two papers are accepted to the 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial-2014), Nov 4, 2014, Dallas, TX, USA:
    1. High Performance Integrated Spatial Big Data Analytics
    2. HAGGIS: Turbo Charge A MapReduce based Spatial Data Warehousing System with GPU
  • August 26, 2014: Our demonstration paper “SATO: A Spatial Data Partitioning Framework for Scalable Query Processing” is accepted to SIGSPATIAL GIS Conference to be held at Dallas, Texas in November 4-7, 2014. A technique report is available here.
  • August 20, 2014: We are awarded NSF CAREER Award for building next generation spatial big data systems.
  • December 11, 2013: Hadoop-GIS is made available on Amazon Elastic MapReduce (EMR). More information can be foundhttps:github.com/ablimit/libhadoopgis. * November 8, 2013: Hadoop-GIS was demonstrated at SIGSpatial GIS Conference. See picture. * Our Hadoop-GIS paper is accepted to VLDB 2013. Ablimit Aji, Fusheng Wang, Hoang Vo, Rubao Lee, Qiaoling Liu, Xiaodong Zhang, Joel Saltz: Hadoop-GIS: A High Performance Spatial Data Warehousing System Over MapReduce. In Proceedings of the 39th International Conference on Very Large Databases (VLDB'2013), Trento, Italy, August 26-30, 2013.