Towards Eco-Friendly Data: A Comprehensive Analysis of Sustainable Data Engineering Practices

Authors: Sainath Muvva

DOI: https://doi.org/10.5281/zenodo.14565843

Short DOI: https://doi.org/g8w627

Country: USA

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Abstract: Rapid growth in data processing and storage requirements has been fueled by the swift evolution of data engineering, propelled by innovations in cloud technology, large-scale data analysis, and machine learning. This unprecedented expansion, however, raises substantial ecological issues. The cornerstone of modern data infrastructure—data centers—are voracious consumers of electricity and major contributors to worldwide greenhouse gas emissions. This study investigates the ecological ramifications of contemporary data engineering methodologies, with a particular emphasis on power usage, carbon dioxide output, and electronic waste production. Additionally, it delves into eco-friendly approaches, including energy-conserving hardware, streamlined data handling processes, and the adoption of sustainable power sources in data facilities. The potential of cutting-edge technologies such as AI-enhanced optimization techniques, quantum computation, and distributed ledger systems to reduce environmental impact is also examined. To conclude, the paper proposes actionable strategies for corporations and regulators to enhance the sustainability of data engineering practices, striving to ensure that the expansion of our digital landscape does not occur at the cost of environmental health.

Keywords: Data Engineering, Cloud Computing, Carbon Emissions, Electronic Waste, Energy Consumption, Energy-Efficient Hardware, Edge Computing, Green Computing, Green Coding, IoT Optimization, Quantum Computing, Renewable Energy, Server Virtualization, Sustainable Data Infrastructure, Sustainable Practices in Data Engineering, Sustainability, Tech Giants Sustainability Initiatives, Data Centers, Power Usage Efficiency, AI Optimization, Blockchain, Data Lifecycle Management, Carbon Footprint Reduction, Environmental Stewardship, Eco-Conscious Software Development, Sustainable Data Storage Optimization.

Paper Id: 231924

Published On: 2024-08-07

Published In: Volume 12, Issue 4, July-August 2024

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