CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

A Literature Review on Evolving Database

by Shagufta Praveen, Umesh Chandra, Arif Ali Wani
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 162 - Number 9
Year of Publication: 2017
Authors: Shagufta Praveen, Umesh Chandra, Arif Ali Wani
10.5120/ijca2017913365

Shagufta Praveen, Umesh Chandra, Arif Ali Wani . A Literature Review on Evolving Database. International Journal of Computer Applications. 162, 9 ( Mar 2017), 35-41. DOI=10.5120/ijca2017913365

@article{ 10.5120/ijca2017913365,
author = { Shagufta Praveen, Umesh Chandra, Arif Ali Wani },
title = { A Literature Review on Evolving Database },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 162 },
number = { 9 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 35-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume162/number9/27274-2017913365/ },
doi = { 10.5120/ijca2017913365 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:08:54.474499+05:30
%A Shagufta Praveen
%A Umesh Chandra
%A Arif Ali Wani
%T A Literature Review on Evolving Database
%J International Journal of Computer Applications
%@ 0975-8887
%V 162
%N 9
%P 35-41
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Since 90's, database has shown tremendous growth. This growth can be determined in different aspects. Different demands of every era give database a new bunch of challenges. To achieve that challenges, researchers come up with different ideas and combinations. These various combinations enhance features of database and this way database starts evolving from one period to another. Database that we had in 1960 is entirely, absolutely different from what we have now. This survey addresses the evolution of database from beginning to today. It also introduces that how different technologies, concepts and theories helped database to evolve, as just one good player in a team is not enough to win the match. The fact is still industries are in hope for something better in context to database technologies.

References
  1. Gill, P.S,2010 Database Managementt System. I.K. International Pvt. Ltd.
  2. CODD, E.F.1970. A Relational Model of Data for Large Shared Data Banks.
  3. Navathe B.S.1992. Evolution of data modeling for data base
  4. Stonebaker,M.,Held,G.2000.Network, hierarchies and relational in database management system
  5. Silberschatz, A., Korth, H.F., Sudarhan, S.2006 Database System Concepts. McGraw-Hill, Inc, New York, NY, USA
  6. Chorafas, D. N., and Steinmann. H., 1993.Object-Oriented Databases. Prentice Hall, Englewood Cliffs.
  7. Dietrich,S. W., and Urban. S.D. 2005.An Advanced Course in Database Systems Deyond Relational Databases. Pearson Prentice Hall, Upper Saddle River.
  8. Rahayu, J.W., Chang, E., Dillon, T.S., Taniar. D., Performance evaluation of the object-relational transformation methodology. Data Knowledge Engineering, 38(3):265–300, September 2001.
  9. Jain, k. and Bhatnagar, N. 2001.Database Management system
  10. Bertino, E., Negri, M., Pelagatti, G., and Sbattella, L., “Object-Oriented Query Languages: The Notion and the Issues,” IEEE Transactions on Knowledge and Data Engineering, Vol. 4, No. 3, 1992.
  11. Bhagui.S,, 2003.Achievements and Weaknesses of Object-Oriented Databases , Vol. 2, No. 4, July-August
  12. Langseth, J., 2004, “Real-Time Data Warehousing: Challenges and Solutions", DSSResources.COM,
  13. Srimani, P.K., Rajasekharaiah K.M .THE ADVANTAGES OF MULTI DIMENSIONAL DATA MODEL – A CASE STUDY
  14. Hecht R, Jablonski S: NoSQL evaluation: A use case oriented survey. Proc 2011 Int Conf Cloud Serv Computing 2011, 336–341
  15. Grolinger et. al .2013.Data management in cloud environments: NoSQL and NewSQL data stores
  16. He, C.2015.Survey On NoSQL technology.
  17. Connolly., T.M. et al.2002.Database System: A practical Approach to design and implementation, 3rd Edition
  18. https://en.wikipedia.org/wiki/Integrated_Data_Store
  19. https://en.wikipedia.org/wiki/IBM_Information_Management_System
  20. http://www.fing.edu.uy/inco/grupos/csi/esp/Cursos/cursos_act/2000/DAP_DisAvDB/documentacion/OO/Evol_DataModels.html
  21. https://en.wikipedia.org/wiki/Object-relational_database
  22. http://ecomputernotes.com/database-system/adv-database/object-relational-database-systems
  23. http://www.25hoursaday.com/whyarentyouusinganoodbms.html
  24. http://www.dbta.com/Columns/DBA-Corner/What-Is-a-NewSQL-Database-System-104489.aspx
Index Terms

Computer Science
Information Sciences

Keywords

Evolution RDBMS ORDBMS OODBMS NOSQL NewSQL

Powered by PhDFocusTM