A Comprehensive Review of Migration of Big Data Applications to Public Clouds: Current Requirements, Types, Strategies, and Case Studies

In today’s world, data is continuously being generated at a high rate by not just technological companies, but also by various other industries like the banking sector. The amount of data generated is in the Gigabytes and Terabytes per day. These processes are becoming difficult to store on-premise or in private clouds due to high volume requirements along with high associated costs. Therefore, many of these companies are shifting toward cloud-based solutions. Although in the long run, these cloud-based solutions provide exciting opportunities, the data migration from the on-premise or private cloud environments to the public clouds presents a tough issue to solve in itself. This paper aims to survey the field of data migration and provide any reader with a comprehensive understanding of all that there is to learn when it comes to data migration. An extensive literature survey followed by a comprehensive understanding of the latest advancements and categories of data migration has been given. It is believed that upon going through the contents of this paper, one will be able to find the right strategy and process they would like to follow if they choose to migrate their big data applications to the cloud.