[arXiv] BigDataFr recommends: Big Data Analytics in Cloud environment using #Hadoop

BigDataFr recommends: Big Data Analytics in Cloud environment using Hadoop Subjects: Distributed, Parallel, and Cluster Computing (cs.DC) […] The Big Data management is a problem right now. The Big Data growth is very high. It is very difficult to manage due to various characteristics. This manuscript focuses on Big Data analytics in cloud environment using […]

[arXiv] BigDataFr recommends : Big Data analytics. Three use cases with R, Python and #Spark #datascientist

BigDataFr recommends: Big Data analytics. Three use cases with R, Python and Spark Subjects: Applications (stat.AP); Learning (cs.LG) […] Management and analysis of big data are systematically associated with a data distributed architecture in the Hadoop and now Spark frameworks. This article offers an introduction for statisticians to these technologies by comparing the performance obtained […]

[arXiv] BigDataFr recommends: Benchmarking Big Data Systems – State-of-the-Art and Future Directions #datascientist #machinelearning

BigDataFr recommends: Benchmarking Big Data Systems – State-of-the-Art and Future Directions ‘The great prosperity of big data systems such as Hadoop in recent years makes the benchmarking of these systems become crucial for both research and industry communities. The complexity, diversity, and rapid evolution of big data systems gives rise to various new challenges about […]