The systematic computational analysis of cloud-based big data analytics-A study of present and future orientation

The use of data has been growing rapidly in the era filled with this technology. Starting from the many conveniences that can be enjoyed every day to utilize it for business analysis. The development of these technologies greatly affects the amount of usage of our data today, for example; formerly we only use the diskette that is only able to load about 5MB, because in earlier times data for it can already be used for its needs at that time. But look now, the data of that size is probably only enough for 1 music file, therefore the development of technology will be directly proportional to the amount of data usage. The number of transactions that occur to date is many times over the past, this is due to the easy spread of data, namely through the internet. With the internet everyone can connect and give each other data, without apart distance and time. This development culminate in the collected data is too large to be what we call the big data. Initially this big data can not be processed because it is too big, but now it has been overcome by the emergence of new ways to process big data. Cloud computing provides a platform for big data analysis considering the storage and computing needs of the latter. This makes cloud-based analysis a searchable field of research. However, many problems need to be addressed and the risks mitigated before the practical applications of this synergistic model can be commonly used. This document explores existing research, challenges, open issues and the direction of future research for this field of study.