Waste Reduction


Waste reduction is the process of minimizing the amount of waste generated by individuals, businesses, and society as a whole. In the context of data science, waste reduction refers to the practice of minimizing the amount of data that is generated, stored, and processed without adding value to the organization. This can be achieved through various techniques such as data compression, data deduplication, and data archiving. By reducing the amount of unnecessary data, organizations can save storage space, reduce processing time, and improve the overall efficiency of their data management systems. Waste reduction is an important aspect of sustainable data science, as it helps to minimize the environmental impact of data centers and other IT infrastructure.


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