Knowing when you're wrong: Building fast and reliable approximate query processing systems

Knowing when you're wrong: Building fast and reliable approximate query processing systems

Modern data analytics applications typically process massive amounts of data on clusters of tens, hundreds, or thousands of machines to support near-real-time decisions.The quantity of data and limitations of disk and memory bandwidth often make it infeasible to deliver answers at interactive speeds...

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Bibliographic Details
Main Authors: Agarwal, Sameer (Author), Milner, Henry (Author), Kleiner, Ariel (Author), Talwalkar, Ameet (Author), Jordan, Michael (Author), Mozafari, Barzan (Author), Stoica, Ion (Author), Madden, Samuel R. (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM), 2014-09-26T13:32:27Z.
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