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100936 |
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|a dc
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|a Duggan, Jennie
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|a Lincoln Laboratory
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|a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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|a Stonebraker, Michael
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|a Kepner, Jeremy
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|a Madden, Samuel R.
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|a Zdonik, Stan
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|a Elmore, Aaron J.
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|a Stonebraker, Michael
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|a Balazinska, Magda
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|a Howe, Bill
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|a Kepner, Jeremy
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|a Maier, David
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|a Mattson, Tim
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|a Madden, Samuel R.
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|a The BigDAWG Polystore System
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|b Association for Computing Machinery (ACM),
|c 2016-01-20T01:22:51Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/100936
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|a This paper presents a new view of federated databases to address the growing need for managing information that spans multiple data models. This trend is fueled by the proliferation of storage engines and query languages based on the observation that âno one size fits allâ. To address this shift, we propose a polystore architecture; it is designed to unify querying over multiple data models. We consider the challenges and opportunities associated with polystores. Open questions in this space revolve around query optimization and the assignment of objects to storage engines. We introduce our approach to these topics and discuss our prototype in the context of the Intel Science and Technology Center for Big Data.
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|a en_US
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|a Article
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|t ACM SIGMOD Record
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