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Understanding sustainable data management
A 3-part series taking a deeper look into building a sustainable data management practice. This post highlights the inefficiencies caused by traditional ways of data management leading to environmental harm and explains the mental models behind adopting the practices.
The environmental impact of traditional data management practices
1. Data silos lead to redundant processes causing resource wastage
2. Using the same tool for all jobs introduces rigidity and diminishes efficiency
3. Lack of data governance increases manual work compromising on efficiency
Understanding sustainable data management
Sustainability shared responsibility model
![sustainability is a shared responsibility between AWS and our customers](/_next/image?url=https%3A%2F%2Fcommunity.aws%2Fraw-post-images%2Fposts%2Fsustainable-data-management-practices%2F01-understanding-sustainable-data-management%2Fimages%2Fsustainability-shared-responsibility-model.png%3FimgSize%3D856x348&w=3840&q=75)
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