Into the Future with Cloud: A Comparison with On-premises Data Warehouse.

The need for data is growing at an extremely steep rate in the ever-digital realm, where terms like "big data" are becoming a thing of the past. All this development requires the use of modern and advanced data handling techniques, where users and researchers can analyze and predict vast amounts of data efficiently. Data warehouses are centralized repositories of data used for business intelligence activities such as analysis and reporting. In this paper, a comparative emphasis has been laid down on two different types of data warehouses, on-premises, and cloud data warehouses. The on-premises are known to be physically housed inside an organization's infrastructure. Cloud data warehouses are online-accessible repositories for data that is stored on cloud platforms. This paper provides a comparative analysis of both types in the context of deployment, scalability, flexibility, query management, cost analysis, access and integration, data security, data storage, data recovery, self-service capabilities and nonetheless, speed and performance. This article further highlights the evolution of data warehouses onto cloud and accentuates the growing demand for an efficient data warehouse, due to the amplification of volume, velocity, variety, value, and veracity of the incoming data in all realms. Furthermore, it provides an in-depth analysis of the advantages of the most suitable data warehouse and discusses the limitations of both. [ABSTRACT FROM AUTHOR]