Improving the performance of real-time data analytics applications by optimising the database aggregations

dc.contributor.advisorPerera I
dc.contributor.authorSamaranayake TDMP
dc.date.accept2022
dc.date.accessioned2022
dc.date.available2022
dc.date.issued2022
dc.description.abstractOrganisations must make the best decision at the appropriate time to obtain a competitive advantage in a fast-changing market. To accomplish so, it's critical to make faster and more efficient judgments based on near-real-time data analysis. When it comes to these real-time streaming data analysis systems, the performance of the database is having a huge impact on such applications as it is required to achieve data availability and continuous processing for a large volume of data without a delay. When it comes to streaming data, data warehousing is more challenging. So, it is required to consider performance improvements in all the steps of the Extraction, Transformation, Load (ETL) process and the database architecture level. Therefore, the proposed approach is to improve the performance of the system by optimising the ETL process (Extraction, Transformation, and Load) and real-time data warehousing. In this approach, the optimised aggregation algorithm is introduced. Apart from that, the hardware, storage schemas, and query optimization of the data warehouse are also considered and this study is evaluating the performance of the centralised architecture for the real-time data warehouse.en_US
dc.identifier.accnoTH4930en_US
dc.identifier.citationSamaranayake, T.D.M.P. (2022). Improving the performance of real-time data analytics applications by optimising the database aggregations [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/22370
dc.identifier.degreeMSc in Computer Science & Engineeringen_US
dc.identifier.departmentDepartment of Computer Science & Engineeringen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/22370
dc.language.isoenen_US
dc.subjectREAL-TIME DATA ANALYTICS APPLICATIONSen_US
dc.subjectDATABASE AGGREGATIONen_US
dc.subjectSTREAMING ANALYTICS APPLICATIONS - Aggregation Approachen_US
dc.subjectCOMPUTER SCIENCE- Dissertationen_US
dc.subjectCOMPUTER SCIENCE & ENGINEERING - Dissertationen_US
dc.titleImproving the performance of real-time data analytics applications by optimising the database aggregationsen_US
dc.typeThesis-Abstracten_US

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