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
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, 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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [21 references]  Display  Hide  Download

https://hal.inria.fr/hal-01174303
Contributor : Francesca Bugiotti <>
Submitted on : Wednesday, July 8, 2015 - 8:05:46 PM
Last modification on : Monday, May 28, 2018 - 2:38:02 PM
Long-term archiving on : Friday, October 9, 2015 - 11:25:58 AM

File

paper28-bugiotti-cabibbo-atzen...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01174303, version 1

Citation

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⟩

Share

Metrics

Record views

559

Files downloads

650