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dc.contributor.authorCho, Chung Yik
dc.contributor.supervisorVeeramani Shanmugamen_US
dc.date.accessioned2019-01-29T07:42:33Z
dc.date.available2019-01-29T07:42:33Z
dc.date.issued2018en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11937/73570
dc.description.abstract

Databases can easily reach petabytes (1,048,576 gigabytes) in scale. A system to enable users to efficiently retrieve or query data from multiple databases simultaneously is needed. This research introduces a new, cloud-based query framework, designed and built using Language Integrated Query, to query existing data sources without the need to integrate or restructure existing databases. Protein data obtained through the query framework proves its feasibility and cost effectiveness.

en_US
dc.publisherCurtin Universityen_US
dc.titleLarge Scale Data Analytics with Language Integrated Queryen_US
dc.typeThesisen_US
curtin.departmentElectrical Engineering, Computer and Math Science (EECMS)en_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US


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