Reduce, you say: What NoSQL can do for data aggregation and BI in large repositories

Proceedings - International Workshop on Database and Expert Systems Applications, DEXA

Volumn , Issue , 2011, Pages 483-488

  Bonnet, Laurent ^a,b   Laurent, Anne ^a   Sala, Michel ^a   Laurent, Bénédicte ^b   Sicard, Nicolas ^c  

^a LIRMM   (France)

^b Namae Concept   (France)

^c EFREI   (France)

Author keywords

Data aggregation; Mapreduce; Massive data sets; Mongodb; NoSQL; Read intensive; SQL; Write intensive

Indexed keywords

DATA AGGREGATION; MAP-REDUCE; MASSIVE DATA SETS; MONGODB; NOSQL; READ INTENSIVE; SQL; WRITE INTENSIVE;

ALGORITHMS; EXPERT SYSTEMS;

DATABASE SYSTEMS;

EID: 84874290792     PISSN: 15294188     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEXA.2011.71     Document Type: Conference Paper

References (12)

1. P. A. Bernstein and N. Goodman. Multiversion concurrency control - Theory and algorithms. ACM Trans. Database Syst., 8:465-483, December 1983.
2. E. A. Brewer. Towards robust distributed systems (abstract). In Proceedings of the nineteenth annual ACM symposium on Principles of distributed computing, PODC '00, pages 7, New York, NY, USA, 2000. ACM.
3. R. Cattell. Scalable SQL and NoSQL Data Stores. In White Paper - http://www.cattell.net/datastores/Datastores.pdf 2011.
4. F. Chang, J. Dean, S. Ghemawat, W. C. Hsieh, D. A. Wallach, M. Burrows, T. Chandra, A. Fikes, and R. E. Gruber. Bigtable: A distributed storage system for structured data. In In Proceedings Of The 7th Conference On Usenix Symposium On Operating Systems Design And Implementation, volume 7, pages 205-218, 2006.
5. C.-T. Chu, S. K. Kim, Y.-A. Lin, Y. Yu, G. R. Bradski, A. Y. Ng, and K. Olukotun. Map-reduce for machine learning on multicore. In NIPS, pages 281-288, 2006.
6. J. Dean and S. Ghemawat. Mapreduce: simplified data processing on large clusters. In Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6, pages 10-10, Berkeley, CA, USA, 2004. USENIX Association.
7. J. Dean and S. Ghemawat. Mapreduce: simplified data processing on large clusters. Commun. ACM, 51:107-113, January 2008.
8. S. Gilbert and N. Lynch. Brewer's conjecture and the feasibility of consistent, available, partition-tolerant web services. SIGACT News, 33:51-59, June 2002.
9. J. Gray. The transaction concept: virtues and limitations (invited paper). In Proceedings of the seventh international conference on Very Large Data Bases - Volume 7, VLDB '1981, pages 144-154. VLDB Endowment, 1981.
10. N. Leavitt. Will nosql databases live up to their promise? Computer, 43:12-14, February 2010.
11. K. Orend. Analysis and classifcation of nosql databases and evaluation of their ability to replace an object-relational persistence layer. Master's thesis, Forschungs - Software Engineering for Business Information Systems, Apr. 2010.
12. A. Verma, X. Llora, S. Venkataraman, D. E. Goldberg, and R. H. Campbell. Scaling ecga model building via dataintensive computing. In IEEE Congress on Evolutionary Computation, pages 1-8, 2010.