Abstract
Every year research institutions produce petabytes of data. Yet, only a small percent of the data is readily accessible for analysis. Terra Populus acts as the bridge between big data sources and researchers. Researchers are provided convenient web applications that allow them to access, analyze, and tabulate different datasets under a common platform. Terra Populus is developing three unique applications. The first application, Paragon, is a prototype parallel spatial database, which aims to extend the functionality of PostgreSQL and PostGIS onto multinode systems. Terra Populus' Tabulator application employs Parquet on Spark to build dynamic queries for analyzing large population survey data. The last application, Terra Explorer, is an exploratory analysis tool for visualizing the spatial datasets within the repository.
Original language | English (US) |
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Title of host publication | Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015 |
Editors | Feng Luo, Kemafor Ogan, Mohammed J. Zaki, Laura Haas, Beng Chin Ooi, Vipin Kumar, Sudarsan Rachuri, Saumyadipta Pyne, Howard Ho, Xiaohua Hu, Shipeng Yu, Morris Hui-I Hsiao, Jian Li |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1953-1957 |
Number of pages | 5 |
ISBN (Electronic) | 9781479999255 |
DOIs | |
State | Published - Dec 22 2015 |
Event | 3rd IEEE International Conference on Big Data, IEEE Big Data 2015 - Santa Clara, United States Duration: Oct 29 2015 → Nov 1 2015 |
Publication series
Name | Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015 |
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Other
Other | 3rd IEEE International Conference on Big Data, IEEE Big Data 2015 |
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Country/Territory | United States |
City | Santa Clara |
Period | 10/29/15 → 11/1/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- big spatial data
- dynamic visualization
- parquet
- spark
- spatial analysis
- web mapping