Large Scale Data Analytics with Language Integrated Query
Cho, Chung Yik
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Science and Engineering
Electrical Engineering, Computer and Math Science (EECMS)
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.
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