National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Optimization of data reading from a distributed database
Kozlovský, Jiří ; Holek, Radovan (referee) ; Macho, Tomáš (advisor)
This thesis is focused on optimization of data reading from distributed NoSQL database Apache HBase with regards to the desired data granularity. The assignment was created as a product request from Seznam.cz, a.s. the Reklama division, Sklik.cz cost center to improve user experience by making filtering of aggregated statistical data available to advertiser web application users for the purpose of viewing entity performance history.
Optimization of data reading from a distributed database
Kozlovský, Jiří ; Holek, Radovan (referee) ; Macho, Tomáš (advisor)
This thesis is focused on optimization of data reading from distributed NoSQL database Apache HBase with regards to the desired data granularity. The assignment was created as a product request from Seznam.cz, a.s. the Reklama division, Sklik.cz cost center to improve user experience by making filtering of aggregated statistical data available to advertiser web application users for the purpose of viewing entity performance history.
Comparison of distributed "NoSQL" databases with focus on performance and scalability
Vrbík, Tomáš ; Šlajchrt, Zbyněk (advisor) ; Pavlíček, Luboš (referee)
This paper focuses on NoSQL database systems. These systems currently serve rather as supplement than replacement of relational database systems. The aim of this paper is to compare 4 selected NoSQL database systems (MongoDB, Apache Cassandra, Apache HBase and Redis) with a main focus on performance and scalability. Performance comparison is done using simulated workload in a 4 nodes cluster environment. One relational SQL database is also benchmarked to provide comparison between classic and modern way of maintaining structured data. As the result of comparison I found out that none of these database systems can be labeled as "the best" as each of the compared systems is suitable for different production deployment.

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