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Reseach Article

SQL Server Versions in Distribution, Parallelism and Big Data

by Rahmat Zolfaghari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 148 - Number 14
Year of Publication: 2016
Authors: Rahmat Zolfaghari
10.5120/ijca2016911215

Rahmat Zolfaghari . SQL Server Versions in Distribution, Parallelism and Big Data. International Journal of Computer Applications. 148, 14 ( Aug 2016), 44-51. DOI=10.5120/ijca2016911215

@article{ 10.5120/ijca2016911215,
author = { Rahmat Zolfaghari },
title = { SQL Server Versions in Distribution, Parallelism and Big Data },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 148 },
number = { 14 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 44-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume148/number14/25860-2016911215/ },
doi = { 10.5120/ijca2016911215 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:53:25.399928+05:30
%A Rahmat Zolfaghari
%T SQL Server Versions in Distribution, Parallelism and Big Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 148
%N 14
%P 44-51
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications which may run either on the same computer or on another computer across a network (including the Internet). Microsoft markets at least a dozen different editions of Microsoft SQL Server, aimed at different audiences and for workloads ranging from small single-machine applications to large Internet-facing applications with many concurrent users. In 1988 Microsoft joined Ashton-Tate and Sybase to create a variant of Sybase SQL Server for IBM OS/2 (then developed jointly with Microsoft), which was released the following year(2000 -2016). According the role of Distribution, Parallelism and Big Data in Microsoft SQL Server specifically reviewed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Distribution Parallelism Big Data SQL Server