Evaluation of applying cloud-based big data analysis in business intelligence

There is no doubt that, two of the most important technologies that have recently entered the mainstream of the IT industry are cloud computing and big data analysis. These two technologies go hand in hand incredibly and have impactful results and benefits for businesses. At the present time, cloud computing has changed the way information technology services are provided by so-called cloud companies and the way businesses and users interact with information technology resources. Big data is a method of data analysis and is realized with recent advances in information and communication technology. However, big data analysis requires a large amount of computing resources and the cost of adopting big data technology is high for many small companies. And medium is very expensive. In the present study, through cloud computing, we present the advantages and challenges of deploying big data analysis and we discuss that cloud computing has the ability to support the storage and computing requirements of big data analysis. We also describe how the integration of these two dominant technologies can lead to the improvement of the big data mining process as well as the improvement of business decision-making processes. Also, the issues and risks that must be considered when using the CLaaS cloud-based service model are also raised.

Keywords:

cloud computing , big data , cloud analysis , security , privacy