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
Hauptverfasser: Jacobs, Steven, Uddin, Md Yusuf Sarwar, Carey, Michael, Hristidis, Vagelis, Tsotras, Vassilis J., Venkatasubramanian, N., Wu, Yao, Safir, Syed, Kaul, Purvi, Wang, Xikui, Qader, Mohiuddin Abdul, Li, Yawei
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Sprache:eng
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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.
ISSN:2150-8097
2150-8097
DOI:10.14778/3137765.3137814