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Sphinx: Empowering Impala for Efficient Execution of SQL Queries on Big Spatial Data., , , , , and . SSTD, volume 10411 of Lecture Notes in Computer Science, page 65-83. Springer, (2017)Less is More: How Fewer Results Improve Progressive Join Query Processing., and . SSDBM, page 16:1-16:12. ACM, (2023)The era of Big Spatial Data., and . ICDE, page 1424-1427. IEEE Computer Society, (2016)Experimental Study of Big Raster and Vector Database Systems., , , , and . ICDE, page 2243-2248. IEEE, (2021)Trekking Through Siberia: Managing Cold Data in a Memory-Optimized Database., , and . Proc. VLDB Endow., 7 (11): 931-942 (2014)SpatialHadoop: towards flexible and scalable spatial processing using mapreduce.. SIGMOD PhD Symposium, page 46-50. ACM, (2014)The Era of Big Spatial Data: Challenges and Opportunities., and . MDM (2), page 7-10. IEEE Computer Society, (2015)978-1-4799-9972-9.Experimental Evaluation of Sketching Techniques for Big Spatial Data., and . SoCC, page 522. ACM, (2018)Spatial coding-based approach for partitioning big spatial data in Hadoop., , , , , , , , and . Comput. Geosci., (2017)Beast: Scalable Exploratory Analytics on Spatio-temporal Data., , , , , , , , , and . CIKM, page 3796-3807. ACM, (2021)