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QA Testing for a Big Data Management...

Mohammed Noorullah Hussain, Khurram Faraaz.

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QA Testing for a Big Data Management System: A Case Study.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	QA Testing for a Big Data Management System: A Case Study./
Author:	Mohammed Noorullah Hussain, Khurram Faraaz.
Description:	83 p.
Notes:	Source: Masters Abstracts International, Volume: 51-06.
Contained By:	Masters Abstracts International51-06(E).
Subject:	Information Technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1540071
ISBN:	9781303167966

QA Testing for a Big Data Management System: A Case Study.
Mohammed Noorullah Hussain, Khurram Faraaz.

QA Testing for a Big Data Management System: A Case Study. - 83 p.

Source: Masters Abstracts International, Volume: 51-06.

Thesis (M.S.)--University of California, Irvine, 2013.

This thesis reports on the outcome of a six-month case study involving software testing of a large, open source code base for Big Data Management. The focus is two-fold, covering issues related to both testing a declarative query language and to the special challenges related to ensuring its correctness when data is partitioned and the execution of queries is parallelized. The system under study, AsterixDB, is a Big Data Management System (BDMS) that uses a shared-nothing parallel architecture. The parallel query processing abilities of the system, like different kinds of parallel joins (Hybrid Hash Join, Index Nested Loop Join and Nested Loop Join), aggregate functions, group by, order by, and limits, are extensively tested in a parallel shared-nothing environment.

ISBN: 9781303167966Subjects--Topical Terms:

1030799
Information Technology.

QA Testing for a Big Data Management System: A Case Study.
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100 1 $a Mohammed Noorullah Hussain, Khurram Faraaz. $3 2100365
245 1 0 $a QA Testing for a Big Data Management System: A Case Study.
300 $a 83 p.
500 $a Source: Masters Abstracts International, Volume: 51-06.
500 $a Adviser: Michael J. Carey.
502 $a Thesis (M.S.)--University of California, Irvine, 2013.
520 $a This thesis reports on the outcome of a six-month case study involving software testing of a large, open source code base for Big Data Management. The focus is two-fold, covering issues related to both testing a declarative query language and to the special challenges related to ensuring its correctness when data is partitioned and the execution of queries is parallelized. The system under study, AsterixDB, is a Big Data Management System (BDMS) that uses a shared-nothing parallel architecture. The parallel query processing abilities of the system, like different kinds of parallel joins (Hybrid Hash Join, Index Nested Loop Join and Nested Loop Join), aggregate functions, group by, order by, and limits, are extensively tested in a parallel shared-nothing environment.
590 $a School code: 0030.
650 4 $a Information Technology. $3 1030799
650 4 $a Computer Science. $3 626642
690 $a 0489
690 $a 0984
710 2 $a University of California, Irvine. $b Computer Science. $3 2099759
773 0 $t Masters Abstracts International $g 51-06(E).
790 $a 0030
791 $a M.S.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1540071