A BAD demonstration: towards B ig A ctive D ata
Nearly all of today's Big Data systems are passive in nature. We demonstrate our Big Active Data ("BAD") system, a scalable system that continuously and reliably captures Big Data and facilitates the timely and automatic delivery of new information to a large population of interested...
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Veröffentlicht in: | Proceedings of the VLDB Endowment 2017-08, Vol.10 (12), p.1941-1944 |
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Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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Zusammenfassung: | Nearly all of today's Big Data systems are
passive
in nature. We demonstrate our Big
Active
Data ("BAD") system, a scalable system that continuously and reliably captures Big Data and facilitates the timely and automatic delivery of new information to a large population of interested users as well as supporting analyses of historical information. We built our BAD project by extending an existing scalable, open-source BDMS (AsterixDB [1]) in this active direction. In this demonstration, we allow our audience to participate in an emergency notification application built on top of our BAD platform, and highlight its capabilities. |
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ISSN: | 2150-8097 2150-8097 |
DOI: | 10.14778/3137765.3137814 |