Green data centers are a game-changer for the environment, offering substantial benefits over traditional data centers. They prioritize reducing carbon emissions, optimizing energy use, and enhancing overall energy efficiency. One of the key strategies involves using deduplication and compression technologies, which can significantly reduce the environmental footprint of data centers. By decoupling data-set sizes for compression and deduplication, these centers can optimize each process individually, ensuring that neither technique is compromised and both are fully leveraged for maximum efficiency. In this paper, the ‘HashPress’ algorithm is introduced, which aims to further enhance the green credentials of data centers. This algorithm proposes innovative measures to optimize data handling processes, making them environment friendly. The empirical validation is conducted to support its efficacy, by improving storage efficiency and reducing energy consumption. The discussion highlights its potential in supporting the broader goal of establishing a green technology infrastructure. Through these advancements, green data centers not only decrease their environmental impact but also pave the way for a resource-efficient future in the technology industry. This paper also delves into the explosive growth of the green data center, importance of decarbonization and sustainability in reducing the environmental footprint and the current strategies and solutions being deployed by leading companies to address the challenge.