The use of Computer-based systems is increasing day by day and in due to many numbers and so critical demands we require
making such complex business decisions so that we can bring many progressive changes in this field. To obtain this victoriously this data
analysis and business reporting systems require additional resources for progress. Therefore, we need better, speeder and solely effective
substitutes to correct and improve these issues. Former few years, the Column-oriented database systems are developing very quickly in
demand and it is in progress also. We have found by peer-reviewing that unlike a row-oriented database there is another database in
terms of technology which is much better and faster for data warehousing. In this paper, we are providing a review of many papers by
saying that a column-oriented database is faster for data warehousing because the magnetically spinning platters use to read or write
heads such move around to find the data and the drive performs the fewer heads have to move. Consequently, the time is lessened and the
data can be delivered faster.
Published In:IJCSN Journal Volume 9, Issue 2
Date of Publication : April 2020
Pages : 28-31
Figures :01
Tables : --
Mekhala :
obtained M.Tech and B.Tech., in Computer
Science from Uttarakhand Technical University. Her
research areas include process mining and database. She
has published research papers and review paper in
international journals.
Database, DBMS, Warehousing, Column-oriented system
In this paper, we can conclude that in DBMS a columnoriented
store needs fewer improvements as compared to
another database in terms of warehousing. This
improvement in database leads to expansion of large
databases and need very less performance-based
elaborations. Because of this, we can also conclude that
data warehousing is predominantly read-oriented.
[1] L. Nirmal, "International Journal of Advancements in
Research & Technology", Volume 2 Issue4, April-
2013.
[2] Mohsen Darabian, Abolfaz "International Journal of
Automation and Power Engineering (IJAPE)", Volume
2 Issue 5, July 2013.
[3] Vaibhav Donde, M. A. Pailan A. Hiskens, "Simulation
and Optimization in an AGC System after
Deregulation" IEEE Transactions on Power Systems,
Vol. 16, No. 3, ISSN: 0885-8950, August 2001, 481-
489.
[4] S. Khosla, H. Boral, and P. Valduriez, "A query
processing strategy for the decomposed storage model"
636-643, 1987.
[5] D. J. Abadi,s S. R. Madden "Integrating Compression
and Execution in Column-Oriented Database Systems"
SIGMOD, 671-682, 2006.
[6] A. Ailamaki, D. J. DeWitt, M. D. Hill, and M.
Skounakis, "Weaving relations for cache performance"
In VLDB, 169-180, 2001.
[7] Zach Pratt "A Review of Column-oriented
Datastores", attackofzach.com
[8] S.G. Yaman "Introduction to Column- Oriented
Database Systems", cs.helsinki.fi
