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

Proceedings of the VLDB Endowment

Volumn 5, Issue 12, 2012, Pages 1902-1905

  Agarwal, Sameer ^a   Panda, Aurojit ^a   Mozafari, Barzan ^b   Iyer, Anand P ^a   Madden, Samuel ^b   Stoica, Ion ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE QUERY PROCESSING; FAULT-TOLERANT; INTERACTIVE QUERIES; MASSIVELY PARALLELS; REAL WORLD VIDEOS; STATISTICAL ERRORS; TPC-H BENCHMARKS; VERY LARGE DATUM;

EID: 84873191849     PISSN: None     EISSN: 21508097     Source Type: Conference Proceeding    
DOI: 10.14778/2367502.2367533     Document Type: Article

References (11)

1. Apache Hive Project. http://hive.apache.org/.
2. Conviva Inc. http://www.conviva.com/.
3. S. Agarwal, S. Kandula, N. Bruno, M.-C. Wu, I. Stoica, and J. Zhou. Re-optimizing Data Parallel Computing. In NSDI, pages 281-294, 2012.
4. S. Agarwal, A. Panda, B. Mozafari, S. Madden, and I. Stoica. BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data. Technical Report, http://arxiv.org/abs/1203.5485, 2012.
5. N. Bruno, S. Agarwal, S. Kandula, B. Shi, M.-C. Wu, and J. Zhou. Recurring Job Optimization in Scope. In SIGMOD, pages 805-806, 2012.
6. C. Engle et al. Shark: Fast Data Analysis Using Coarse-grained Distributed Memory. In SIGMOD Conference, pages 689-692, 2012.
7. M. Garofalakis and P. Gibbons. Approximate Query Processing: Taming the Terabytes. In VLDB, 2001. Tutorial.
8. M. L. Kersten, S. Idreos, S. Manegold, and E. Liarou. The Researcher's Guide to the Data Deluge: Querying a Scientific Database in Just a Few Seconds. PVLDB, 4(12):1474-1477, 2011.
9. L. Sidirourgos et al. SciBORQ: Scientific Data Management With Bounds On Runtime and Quality. In CIDR, pages 296-301, 2011.
10. M. Zaharia et al. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing. In NSDI, pages 15-28, 2012.
11. K. Zeng, B. Mozafari, S. Gao, and C. Zaniolo. Uncertainty Propagation in Complex Query Networks on Data Streams: A New Paradigm for Load Shedding. Technical Report 120016, UCLA, 2011.