Hecuba is a tool written in Python and C++ developed in the Barcelona Supercomputing Center (BSC), it allows to simplify the process of reading and writing in Cassandra databases. The objective is to integrate Hecuba into Dislib - another Python library developed in the BSC that allows the treatment and manipulation of large amounts of data using the COMPSs framework, which allows the development and execution of parallel applications in distributed computing architectures in a simple way. This thesis has been carried out within the European project I-BiDaaS, which was created with the aim of providing a self-service platform for Big Data analysis. A use case of this integration has been carried out to demonstrate its powerful capacity, it ...
Las Doctoras Verónica Gil Costa y Marcela Printista de la Universidad Nacional de San Luis, fueron l...
The aim of the Borges plus project is to develop a prototype based on a columnar DB over a distribut...
Our society is generating an increasing amount of data at an unprecedented scale, variety, and speed...
Hecuba es una interfaz y un conjunto de herramientas escrito en Python y C++, desarrollada por el eq...
The convergence of Big Data applications with High-Performance Computing requires new methodologies ...
The amount of data produced, either in the scientific community and the commercial world, is constan...
High performance computing (HPC) and Big Data are technologies vital for advancement in science, bus...
HEP-Frame is a new C++ package designed to efficiently perform analyses of datasets from a very larg...
Our motivation in this BS final project will be analyzing the different big data processing approach...
Le calcul haute performance est un domaine scientifique dans lequel de très complexes et intensifs c...
This open access book is the final compendium of case studies emanated from the 4-year COST Action I...
Implementacio d'un gestor en entorns de Big Data[ANGLÈS] Massive or big data consist in seeing and u...
Big data applications are becoming more commonplace due to an abundance of digital data and increasi...
Big Data must be processed with advanced collection and analysis tools, based on predetermined algor...
Use big data technology to implement the algorithm BLAST uses to align genetic sequences that need t...
Las Doctoras Verónica Gil Costa y Marcela Printista de la Universidad Nacional de San Luis, fueron l...
The aim of the Borges plus project is to develop a prototype based on a columnar DB over a distribut...
Our society is generating an increasing amount of data at an unprecedented scale, variety, and speed...
Hecuba es una interfaz y un conjunto de herramientas escrito en Python y C++, desarrollada por el eq...
The convergence of Big Data applications with High-Performance Computing requires new methodologies ...
The amount of data produced, either in the scientific community and the commercial world, is constan...
High performance computing (HPC) and Big Data are technologies vital for advancement in science, bus...
HEP-Frame is a new C++ package designed to efficiently perform analyses of datasets from a very larg...
Our motivation in this BS final project will be analyzing the different big data processing approach...
Le calcul haute performance est un domaine scientifique dans lequel de très complexes et intensifs c...
This open access book is the final compendium of case studies emanated from the 4-year COST Action I...
Implementacio d'un gestor en entorns de Big Data[ANGLÈS] Massive or big data consist in seeing and u...
Big data applications are becoming more commonplace due to an abundance of digital data and increasi...
Big Data must be processed with advanced collection and analysis tools, based on predetermined algor...
Use big data technology to implement the algorithm BLAST uses to align genetic sequences that need t...
Las Doctoras Verónica Gil Costa y Marcela Printista de la Universidad Nacional de San Luis, fueron l...
The aim of the Borges plus project is to develop a prototype based on a columnar DB over a distribut...
Our society is generating an increasing amount of data at an unprecedented scale, variety, and speed...