ABSTRACT
One of the most popular technologies which are relevant in today’s IT industry would be cloud computing and big data analytics. Data are extremely large and can be used to analyze underlying trends, patterns, and correlations, which can be of business value is called big data. The datasets are so large that their volumes increase exponentially over time. The process of analyzing patterns in big data using advanced analytical techniques is called big data analytics. Whereas, cloud computing is the provision of computational services on demand, over the Internet. These services and the data stored are run on remote servers present in data centers across the world. These two concepts may seem to be very different from each other, but we can combine these two technologies to provide various services to people all over the Internet. Cloud Computing is now enabling the big data industry to achieve what it has not been able to in the past. To achieve the goals of big data analytics, cloud computing can be used as a platform. In cloud computing, the data which is remotely stored is processed in real-time, interpreted, and delivered appropriately to users. This improves the quality of customer services companies provide to their customers. Cloud can take in huge amounts of data and analyze it in a fraction of seconds. Moreover, since the type of data used in big data analytics is not always organized or in a standard format, the artificial intelligence and machine learning technologies of cloud computing can be used to convert the data into a standard format. This can prove to be very effective and economical for business enterprises. It is because traditional on-premise data centers are harder to manage and need a lot of maintenance by companies. Therefore, as an organization grows, it is better to shift its business model toward cloud. With these two technologies combined, companies can achieve economies of scale with minimal investment and improve overall customer experience.
