《绝命毒师:大活跃数据的数据服务愿景》

Michael J Carey, Steven Jacobs, Vassilis J Tsotras
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引用次数: 19

摘要

事实上,今天所有的大数据系统本质上都是被动的。在这里,我们描述了一个将大数据平台从被动转变为主动的项目。我们详细描述了一个可扩展系统的愿景,该系统可以持续可靠地捕获大数据,以便及时自动地向大量感兴趣的用户提供新信息,并支持对历史信息的分析。我们目前正在构建一个大主动数据(BAD)系统,通过扩展现有的可扩展开源BDMS (AsterixDB)。第一篇论文聚焦于BAD难题的数据服务部分,包括其关键概念和用户模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Breaking BAD: A Data Serving Vision for Big Active Data.

Breaking BAD: A Data Serving Vision for Big Active Data.

Breaking BAD: A Data Serving Vision for Big Active Data.

Virtually all of today's Big Data systems are passive in nature. Here we describe a project to shift Big Data platforms from passive to active. We detail a vision for a scalable system that can continuously and reliably capture Big Data to enable timely and automatic delivery of new information to a large pool of interested users as well as supporting analyses of historical information. We are currently building a Big Active Data (BAD) system by extending an existing scalable open-source BDMS (AsterixDB) in this active direction. This first paper zooms in on the Data Serving piece of the BAD puzzle, including its key concepts and user model.

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