期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：6
页码：2823-2826
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Big data is an all-encompassing term for any collection of data sets so large and complex that it becomes difficult to process them using traditional data processing applications. So a hadoop cluster is used in Big Data for a data analysis methodology enabled by recent advances in technologies and architecture. A Hadoop cluster is essentially a computational cluster that distributes the data analysis workload across multiple cluster nodes that work to process the data in parallel. However, big data entails a huge commitment of hardware and processing resources, making adoption costs of big data technology prohibitive to small and medium sized businesses. Cloud computing offers the promise of big data implementation to small and medium sized businesses. Despite the fact that cloud computing offers huge opportunities to the IT industry, the development of cloud computing technology is currently has several issues. This study presents an idea for introducing the cloud and big data are infiltrating company practices, and in some cases, they're doing it together. The intersection of the two brings many challenges and opportunities for companies that choose to process and store big data in the cloud . The aim of this idea is to provide a better understanding of the design challenges of cloud computing and identify important research directions in this big data increasingly important area. We'll describe a series of studies by which we and other researchers have assessed the effectiveness of these techniques in practical situations. Finally, in this study we will show how this idea could be implemented in a practical and useful way in industry.
关键词：Big data; Cloud computing; Challenges in ; Big Data; Hadoop cluster
