| Title: | COMPARISON OF MYSQL, NEO4J AND APACHE HIVE DATABASE MANAGEMENT SYSTEMS |
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| Authors: | ID Moser, Matjaž (Author)
ID Rajkovič, Uroš (Mentor) More about this mentor... 
ID Kaya, Kamer (Comentor) |
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| Files: |  MAG_Moser_Matjaz_2016.pdf (1,02 MB)
MD5: 434A305A5EF76BF93EA5CC007E9E344C
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| Language: | English |
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| Work type: | Master's thesis/paper |
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| Organization: | FOV - Faculty of Organizational Sciences in Kranj
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| Abstract: | In this work a comparison of three different database management systems (DBMS) is presented. In general a relational data model with a graph data model is compared. The three systems used are MySQL, Neo4j and Apache Hive. Neo4j is a member of the NoSQL database family and is a well-known graph database. The relational databases used in this work are MySQL and Apache Hive. The latter is not a classic relational model but since it is modelled as such it can be considered relational. MySQL is a well-known solution that has been on the market for several years now and is a standard solution for many data problems.
Within this work a detailed comparison of all three systems from different aspects of usage is made, both from our own experience as well as from preliminary research from other authors and sources. Additionally some practical information from our dataset with some simple mining techniques is extracted and the result of our work is visualised in an interactive web side using modern approaches to data visualisation. |
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| Keywords: | Neo4j, MySQL, Apache Hadoop/Hive, database comparison, data visualisation |
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| Place of publishing: | Maribor |
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| Year of publishing: | 2016 |
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| PID: | 20.500.12556/DKUM-57729 |
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| COBISS.SI-ID: | 7575827 |
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| NUK URN: | URN:SI:UM:DK:E7XBO8UK |
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| Publication date in DKUM: | 13.05.2016 |
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| Views: | 2688 |
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| Downloads: | 222 |
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| Metadata: |    |
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| Categories: | FOV
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