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    Large Scale Data Analytics with Language Integrated Query

    Cho CY 2018.pdf (2.711Mb)
    Access Status
    Open access
    Authors
    Cho, Chung Yik
    Date
    2018
    Supervisor
    Veeramani Shanmugam
    Type
    Thesis
    Award
    MPhil
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    Electrical Engineering, Computer and Math Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/73570
    Collection
    • Curtin Theses
    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.

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