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...
Main Authors: | , , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | en_US |
Published: |
Association for Computing Machinery (ACM)
2014
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Online Access: | http://hdl.handle.net/1721.1/90383 https://orcid.org/0000-0002-7470-3265 |