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WarpFlow: Exploring Petabytes of Space-Time Data

Authors :
Popescu, Catalin
Merugu, Deepak
Nguyen, Giao
Shivakumar, Shiva
Publication Year :
2019

Abstract

WarpFlow is a fast, interactive data querying and processing system with a focus on petabyte-scale spatiotemporal datasets and Tesseract queries. With the rapid growth in smartphones and mobile navigation services, we now have an opportunity to radically improve urban mobility and reduce friction in how people and packages move globally every minute-mile, with data. WarpFlow speeds up three key metrics for data engineers working on such datasets -- time-to-first-result, time-to-full-scale-result, and time-to-trained-model for machine learning.<br />Comment: 11 pages, 12 figures

Subjects

Subjects :
Computer Science - Databases

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1902.03338
Document Type :
Working Paper