MAD skills: New analysis practices for big data

Proceedings of the VLDB Endowment

Volumn 2, Issue 2, 2009, Pages 1481-1492

  Cohen, Jeffrey ^a   Dolan, Brian ^b   Dunlap, Mark ^c   Hellerstein, Joseph M ^d   Welton, Caleb ^a  

^a Greenplum   (United States)

^b Fox Audience Network   (United States)

^c Evergreen Technologies   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGILE MANUFACTURING SYSTEMS; DATA ACQUISITION; DATA HANDLING; DATA WAREHOUSES; DIGITAL STORAGE; INFORMATION ANALYSIS;

ADVERTISING NETWORKS; DATA-PARALLEL ALGORITHMS; DATABASE DESIGN; DESIGN PHILOSOPHY; ENTERPRISE DATA WAREHOUSE; PARALLEL DATABASE SYSTEMS; STATISTICAL TECHNIQUES; STORAGE MECHANISM;

BIG DATA;

EID: 84868307166     PISSN: None     EISSN: 21508097     Source Type: Conference Proceeding    
DOI: 10.14778/1687553.1687576     Document Type: Article

References (25)

1. T. Barclay et al. Loading databases using dataow parallelism. SIGMOD Record, 23(4), 1994.
2. J. Choi et al. ScaLAPACK: a portable linear algebra library for distributed memory computers -design issues and performance. Computer Physics Communications, 97(1-2), 1996. High-Performance Computing in Science.
3. C.-T. Chu et al. Map-Reduce for machine learning on multicore. In NIPS, pages 281-288, 2006.
4. J. Dean and S. Ghemawat. MapReduce: Simplified data processing on large clusters. In OSDI, pages 137-150, 2004.
5. S. Dubner. Hal Varian answers your questions, February 2008.
6. M. Franklin, A. Halevy, and D. Maier. From databases to dataspaces: a new abstraction for information management. SIGMOD Rec., 34(4), 2005.
7. G. Graefe. Encapsulation of parallelism in the volcano query processing system. SIGMOD Rec., 19(2), 1990.
8. J Gray et al. Data cube: A relational aggregation operator generalizing group-by, cross-tab, and sub-totals. Data Min. Knowl. Discov., 1(1), 1997.
9. Greenplum. A unified engine for RDBMS and MapReduce, 2009. http://www.greenplum.com/resources/mapreduce/.
10. F. R. Hampel et al. Robust Statistics - The Approach Based on Inuence Functions. Wiley, 1986.
11. J. M. Hellerstein, P. J. Haas, and H. J. Wang. Online aggregation. In ACM SIGMOD, 1997.
12. W. Holland, February 2009. Downloaded from http://www.urbandictionary.com/define.php?term=mad.
13. W. H. Inmon. Building the Data Warehouse. Wiley, 2005.
14. Y. E. Ioannidis et al. Zoo: A desktop experiment management environment. In VLDB, 1996.
15. A. Kaushik. Web Analytics: An Hour a Day. Sybex, 2007.
16. N. Khoussainova et al. A case for a collaborative query management system. In CIDR, 2009.
17. K. Lange. Optimization. Springer, 2004.
18. M. T. Roth and P. M. Schwarz. Don't scrap it, wrap it! A wrapper architecture for legacy data sources. In VLDB, 1997.
19. M. Stonebraker. Inclusion of new types in relational data base systems. In ICDE, 1986.
20. M. Stonebraker et al. C-store: a column-oriented dbms. In VLDB, 2005.
21. M. Stonebraker et al. Requirements for science data bases and SciDB. In CIDR, 2009.
22. A. S. Szalay et al. Designing and mining multi-terabyte astronomy archives: the sloan digital sky survey. SIGMOD Rec., 29(2), 2000.
23. R. Vuduc, J. Demmel, and K. Yelick. Oski: A library of automatically tuned sparse matrix kernels. In SciDAC, 2005.
24. M.J. Zaki and C.-T. Ho. Large-Scale Parallel Data Mining. Springer, 2000.
25. Y. Zhang, H. Herodotou, and J. Yang. Riot: I/O-efficient numerical computing without SQL. In CIDR, 2009.