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Abstract: Over the past 40 years, database management systems DBMSs have evolved toprovide a sophisticated variety of data management capabilities. At the sametime, tools for managing queries over the data have remained relativelyprimitive. One reason for this is that queries are typically issued throughapplications. They are thus debugged once and re-used repeatedly. This mode ofinteraction, however, is changing. As scientists and others store and shareincreasingly large volumes of data in data centers, they need the ability toanalyze the data by issuing exploratory queries. In this paper, we argue that,in these new settings, data management systems must provide powerful querymanagement capabilities, from query browsing to automatic queryrecommendations. We first discuss the requirements for a collaborative querymanagement system. We outline an early system architecture and discuss the manyresearch challenges associated with building such an engine.



Autor: Nodira Khoussainova University of Washington, Magda Balazinska U. Washington, Wolfgang Gatterbauer University of Washington, Yong

Fuente: https://arxiv.org/



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