Large Scale Data Analytics with Language Integrated Query
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 qu...
| Main Author: | |
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| Format: | Thesis |
| Published: |
Curtin University
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/73570 |
| _version_ | 1848763047020068864 |
|---|---|
| author | Cho, Chung Yik |
| author_facet | Cho, Chung Yik |
| author_sort | Cho, Chung Yik |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T10:57:15Z |
| format | Thesis |
| id | curtin-20.500.11937-73570 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:57:15Z |
| publishDate | 2018 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-735702022-06-15T08:48:00Z Large Scale Data Analytics with Language Integrated Query Cho, Chung Yik 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. 2018 Thesis http://hdl.handle.net/20.500.11937/73570 Curtin University fulltext |
| spellingShingle | Cho, Chung Yik Large Scale Data Analytics with Language Integrated Query |
| title | Large Scale Data Analytics with Language Integrated Query |
| title_full | Large Scale Data Analytics with Language Integrated Query |
| title_fullStr | Large Scale Data Analytics with Language Integrated Query |
| title_full_unstemmed | Large Scale Data Analytics with Language Integrated Query |
| title_short | Large Scale Data Analytics with Language Integrated Query |
| title_sort | large scale data analytics with language integrated query |
| url | http://hdl.handle.net/20.500.11937/73570 |