Low-cost clusters on big data - A systematic study
Antônio José Alves Neto, José Aprígio Carneiro Neto, Edward David Moreno · 2022
The growing gap between users and the Big Data analytics requires innovative tools that address the challenges faced by big data such as volume, variety, and velocity. Therefore, it becomes computationally inefficient to analyze this massive volume of data. Moreover, advancements in the field of Big Data applications and data science poses additional challenges, where High-Performance Computing (HPC) solution has become a key issue and has attracted attention in recent years.