THE MATHEMATICAL ANALYSIS OF COLUMN ORIENTED DATABASE
Author(s) -
Amit Kumar Dwivedi,
Vijay Kumar Sharma
Publication year - 2014
Publication title -
international journal of computer science and informatics
Language(s) - English
Resource type - Journals
ISSN - 2231-5292
DOI - 10.47893/ijcsi.2014.1161
Subject(s) - column (typography) , computer science , row , database , relational database , table (database) , database design , dimension (graph theory) , database tuning , database schema , set (abstract data type) , data mining , view , programming language , mathematics , telecommunications , frame (networking) , pure mathematics
There are two obvious ways to map a two-dimension relational database table onto a one-dimensional storage interface: store the table row-by-row, or store the table column-by-column. Historically, database system implementations and research have focused on the row-by row data layout, since it performs best on the most common application for database systems: business transactional data processing. However, there are a set of emerging applications for database systems for which the row-by-row layout performs poorly. These applications are more analytical in nature, whose goal is to read through the data to gain new insight and use it to drive decision making and planning. In this paper, we study about the facts responsible for making Column Oriented database when traditional Row-oriented databases are already present, analysis of generation of Column Oriented databases, etc. Finally It will be conclude by giving a probabilistic analysis of Column Oriented database. Keywords-Data warehouses, Database systems, Databases, Performance analysis
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