A BAD demonstration
Steven Jacobs, Md Yusuf Sarwar Uddin, Michael J. Carey, Vagelis Hristidis, Vassilis J. Tsotras, Nalini Venkatasubramanian, Yao Wu, Syed Safir, Purvi Kaul, Xikui Wang, Mohiuddin Abdul Qader, Yawei Li · Proceedings of the VLDB Endowment · 2017
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.