Indexing in relational and graph databases as a mean of dealing with increasing amount of business data (CROSBI ID 644257)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šestak, Martina ; Rabuzin, Kornelije ; Konecki, Mario
engleski
Indexing in relational and graph databases as a mean of dealing with increasing amount of business data
Nowadays, most enterprises still use relational databases to store their data. However, in a modern and dynamic environment the relationships connecting stored data are gaining more importance than the data itself. In this situation, graph databases have proven to be quite useful. Regardless of which database management system is being used to manage the company data, the issue of database query performance must be considered due to the increasing amount of data. Indexes are data structures, which can be used to improve database query performance. Due to their significant impact on the database performance, indexes have been developed and implemented both in relational and graph databases. In this paper, an overview of various indexing methods in the previously mentioned database categories has been made in order to detect their similarities and differences.
relational databases ; graph databases ; indexing methods ; business data
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Podaci o prilogu
181-185.
2016.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of IAC-MEBM Conference in Vienna 2016
Kratochvilova, H. ; Kratochvil, R.
Vestec: Czech Institute Of Academic Education
978-80-906231-6-3
Podaci o skupu
International Academic Conference on Management, Business and Marketing
predavanje
25.11.2016-26.11.2016
Beč, Austrija