TY  - JOUR
EP  - 4758
SN  - 22414487
PB  - Dr D. Pylarinos
SP  - 4755
TI  - Performance Analysis of Duplicate Record Detection Techniques
N1  - cited By 2
AV  - none
VL  - 9
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086180308&doi=10.48084%2fetasr.3036&partnerID=40&md5=87e9377bb709a8c3ad401f89067e31b5
JF  - Engineering, Technology and Applied Science Research
A1  - Adil, S.H.
A1  - Ali, S.S.A.
A1  - Raza, K.
A1  - Ebrahim, M.
Y1  - 2019///
ID  - scholars11226
N2  - In this paper, a comprehensive performance analysis of duplicate data detection techniques for relational databases has been performed. The research focuses on traditional SQL based and modern bloom filter techniques to find and eliminate records which already exist in the database while performing bulk insertion operation (i.e. bulk insertion involved in the loading phase of the Extract, Transform, and Load (ETL) process and data synchronization in multisite database synchronization). The comprehensive performance analysis was performed on several data sizes using SQL, bloom filter, and parallel bloom filter. The results show that the parallel bloom filter is highly suitable for duplicate detection in the database. © 2019, Dr D. Pylarinos. All rights reserved.
IS  - 5
ER  -