Large Scale Data Analytics with Language Integrated Query
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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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Rudra, Amit; Gopalan, Raj; Achuthan, Narasimaha (2012)Decision support queries usually involve accessing enormous amount of data requiring significant retrieval time. Faster retrieval of query results can often save precious time for the decision maker. Pre-computation of ...
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Rudra, Amit; Gopalan, Raj; Achuthan, Narasimaha (2012)A simple random sample of records from a large data warehouse may not contain sufficient number of records that satisfy highly selective queries. Efficient sampling schemes for such queries involve using innovative ...