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How I Learned to Stop Worrying and Love NoSQL Databases

Francesca Bugiotti 1, 2, 3 Luca Cabibbo 4 Paolo Atzeni 4 Riccardo Torlone 4
1 OAK - Database optimizations and architectures for complex large data
Inria Saclay - Ile de France, LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : The absence of a schema in NoSQL databases can disorient tradi- tional database specialists and can make the design activity in this context a leap of faith. However, we show in this paper that an effective design methodology for NoSQL systems supporting the scalability, performance, and consistency of next-generation Web applications can be indeed devised. The approach is based on NoAM (NoSQL Abstract Model), a novel abstract data model for NoSQL databases, which is used to specify a system-independent representation of the application data. This intermediate representation can be then implemented in target NoSQL databases, taking into account their specific features.
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Submitted on : Wednesday, July 8, 2015 - 8:05:46 PM
Last modification on : Thursday, July 8, 2021 - 3:49:52 AM
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  • HAL Id : hal-01174303, version 1


Francesca Bugiotti, Luca Cabibbo, Paolo Atzeni, Riccardo Torlone. How I Learned to Stop Worrying and Love NoSQL Databases. SEBD Italian Symposium on Advanced Database Systems, Jun 2015, Gaeta, Italy. ⟨hal-01174303⟩



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