A NOVEL TECHNIQUE IN NoSQL DATA EXTRACTION
DOI:
https://doi.org/10.29121/granthaalayah.v1.i1.2014.3086Keywords:
NoSQL, Big Data, SQL, Database, Scalability, MySQLAbstract [English]
NoSQL databases (commonly interpreted by developers as „not only SQL databases‟ and not „no SQL‟) is an emerging alternative to the most widely used relational databases. As the name suggests, it does not completely replace SQL but compliments it in such a way that they can co-exist. In this paper we will be discussing the NoSQL data model, types of NoSQL data stores, characteristics and features of each data store, query languages used in NoSQL, advantages and disadvantages of NoSQL over RDBMS and the future prospects of NoSQL.
Motivation/Background:NoSQL systems exhibit the ability to store and index arbitrarily big data sets while enabling a large amount of concurrent user requests.
Method:Many people think NoSQL is a derogatory term created to poke at SQL. In reality, the term means Not Only SQL. The idea is that both technologies can coexist and each has its place.
Results:Large-scale data processing (parallel processing over distributed systems); Embedded IR (basic machine-to-machine information look-up & retrieval); Exploratory analytics on semi-structured data (expert level); Large volume data storage (unstructured, semi-structured, small-packet structured).
Conclusions:This study report motivation to provide an independent understanding of the strengths and weaknesses of various NoSQL database approaches to supporting applications that process huge volumes of data; as well as to provide a global overview of this non-relational NoSQL databases.
Downloads
References
http://en.wikipedia.org/wiki/NoSQL
Hecht, R., &Jablonski, S. (2011, December). NoSQL evaluation: A use case oriented survey. In Cloud and Service Computing (CSC), 2011 International Conference on (pp. 336-341). IEEE. DOI: https://doi.org/10.1109/CSC.2011.6138544
Use relational DBMS, N. (2009). Saying good-bye to DBMSs, designing effective interfaces.Communications of the ACM, 52(9).
Leavitt, N. (2010). Will NoSQL databases live up to their promise?.Computer,43(2), 12-14. DOI: https://doi.org/10.1109/MC.2010.58
Abadi, D. J. (2009). Data management in the cloud: Limitations and opportunities. IEEE Data Eng. Bull, 32(1), 3-12.
Chang, Fay, et al. "Bigtable: A distributed storage system for structured data."ACM Transactions on Computer Systems (TOCS) 26.2 (2008): 4. DOI: https://doi.org/10.1145/1365815.1365816
Lakshman, A., & Malik, P. (2010). Cassandra—A decentralized structured storage system. Operating systems review, 44(2), 35. DOI: https://doi.org/10.1145/1773912.1773922
Konstantinou, I., Angelou, E., Boumpouka, C., Tsoumakos, D., &Koziris, N. (2011, October). On the elasticity of NoSQL databases over cloud management platforms. In Proceedings of the 20th ACM international conference on Information and knowledge management (pp. 2385-2388).ACM. DOI: https://doi.org/10.1145/2063576.2063973
Russom, P. (2011). big data analytics. TDWI Best Practices Report, 4 th Quarter 2011.
Luhn, H. P. (1958). A business intelligence system.IBM Journal of Research and Development, 2(4), 314-319. DOI: https://doi.org/10.1147/rd.24.0314
G. DeCandia, et al.,(2007) "Dynamo: amazon's highly available key-value store," in SOSP '07 Proceedings of twenty-first ACM SIGOPS, New York, USA, pp. 205-220. [12] K. Orend, (2010) "Analysis and Classification of NoSQL Databases and Evaluation of their Ability to Replace an Object-relational Persistence Layer," Master Thesis, Technical University of Munich, Munich. DOI: https://doi.org/10.1145/1294261.1294281
R. Cattell, (2010) "Scalable SQL and NoSQL Data Stores," ACM SIGMODRecord, vol. 39.
Han, J., Haihong, E., Le, G., & Du, J. (2011, October). Survey on NoSQL database. In Pervasive Computing and Applications (ICPCA), 2011 6th International Conference on (pp. 363-366). IEEE.
Tudorica, B. G., &Bucur, C. (2011, June). A comparison between several NoSQL databases with comments and notes.In Roedunet International Conference (RoEduNet), 2011 10th (pp. 1-5).IEEE. DOI: https://doi.org/10.1109/RoEduNet.2011.5993686
Padhy, R. P., Patra, M. R., &Satapathy, S. C. (2011). RDBMS to NoSQL: Reviewing Some Next-Generation Non-Relational Database.
Downloads
Published
How to Cite
Issue
Section
License
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.