Blink and it's done: Interactive queries on very large data

Blink and it's done: Interactive queries on very large data

In this demonstration, we present BlinkDB, a massively parallel, sampling-based approximate query processing framework for running interactive queries on large volumes of data. The key observation in BlinkDB is that one can make reasonable decisions in the absence of perfect answers. BlinkDB extends...

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Bibliographic Details
Main Authors: Agarwal, Sameer, Iyer, Anand P., Panda, Aurojit, Mozafari, Barzan, Stoica, Ion, Madden, Samuel R.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Association for Computing Machinery (ACM) 2014
Online Access:http://hdl.handle.net/1721.1/90381
https://orcid.org/0000-0002-7470-3265

Internet

http://hdl.handle.net/1721.1/90381
https://orcid.org/0000-0002-7470-3265

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