Journal article

NoDB: Efficient query execution on raw data files

I Alagiannis, R Borovica-Gajic, M Branco, S Idreos, A Ailamaki

Communications of the ACM | ASSOC COMPUTING MACHINERY | Published : 2015

Abstract

As data collections become larger and larger, users are faced with increasing bottlenecks in their data analysis. More data means more time to prepare and to load the data into the database before executing the desired queries. Many applications already avoid using database systems, for example, scientific data analysis and social networks, due to the complexity and the increased data-to-query time, that is, the time between getting the data and retrieving its first useful results. For many applications data collections keep growing fast, even on a daily basis, and this data deluge will only increase in the future, where it is expected to have much more data than what we can move or store, l..

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University of Melbourne Researchers