International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Efficient Query Evaluation over Wide Sparse Table

Akshatha Dange K, Siddanagowda G R

Abstract: This paper presents how efficiently the data can be retrieved from wide sparse table. The term wide sparse table refers to database table which consists of several attribute values. In traditional database we use SQL queries to retrieve the data. There are several existing mapping techniques that deliver satisfactory query performance. Here the concept of indexing is used to map XML data to wide sparse database. Also we translate XML queries in to SQL queries

Keywords: indexing, query, SQL, wide sparse Table, XML

How to Cite?: Akshatha Dange K, Siddanagowda G R, "Efficient Query Evaluation over Wide Sparse Table", Volume 4 Issue 5, May 2015, International Journal of Science and Research (IJSR), Pages: 1219-1220, https://www.ijsr.net/getabstract.php?paperid=SUB154364, DOI: https://dx.doi.org/10.21275/SUB154364

Download Citation: APA | MLA | BibTeX | EndNote | RefMan

Share This Research

Help this article reach readers, researchers and professionals.

Share activity is measured for research-engagement analytics. Only verified, unique public shares can support award tie-breaking.

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.

Download Article PDF


Rate This Article!

Top

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.