Due to the initial investments needed by companies to acquire the necessary expertise, hardware and software to run proper Big Data Analytics, small and medium enterprises (SMEs) are often incapacitated from exploiting the full benefits of Big Data. The Model-Driven provided by Toreador promises to support SMEs in reaping the fruits of Big Data Analytics, by keeping the inherent costs at a minimum and thus allowing for a proper exploitation. In this paper, Models for declaring and describing algorithms, procedures and deployment configuration for Big Data are presented, with a focus on procedural aspects.

A platform for MBDAaaS based on patterns and skeletons: The python based algorithms compiler

Di Martino, Beniamino;D'Angelo, Salvatore;Esposito, Antonio
2017

Abstract

Due to the initial investments needed by companies to acquire the necessary expertise, hardware and software to run proper Big Data Analytics, small and medium enterprises (SMEs) are often incapacitated from exploiting the full benefits of Big Data. The Model-Driven provided by Toreador promises to support SMEs in reaping the fruits of Big Data Analytics, by keeping the inherent costs at a minimum and thus allowing for a proper exploitation. In this paper, Models for declaring and describing algorithms, procedures and deployment configuration for Big Data are presented, with a focus on procedural aspects.
2017
9781509044283
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11591/395794
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