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Summary: | Big Data solutions often involve a pipeline in which data is transformed at each stage so that its content and form are suitable for the platform that implements the next stage. For example, streams of incoming real-time data may be aggregated and stored in an operational data store for online alerting; Data may be extracted from a relational database, transformed and stored for visualisation/business intelligence. |
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Creators: | |
Divisions: | Academic > School of Computing, Engineering and Built Environment > Department of Computing |
Copyright holder: | Copyright © Glasgow Caledonian University |
Viewing permissions: | World |
Depositing User: | |
Date Deposited: | 15 Dec 2018 21:14 |
Last Modified: | 08 Jan 2020 14:08 |
URI: | https://edshare.gcu.ac.uk/id/eprint/4360 |
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