What is Databloat

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What is Green Databloat?

🔺Databloat refers to the excessive accumulation of redundant or unused data within digital systems, leading to inefficiencies and increased carbon emissions. As the volume of stored and processed data grows exponentially, databloat contributes significantly to the environmental footprint of IT infrastructure.

🔺Why It Matters: The energy required to store, process, and manage bloated data is immense. Databloat not only drives up operational costs but also increases greenhouse gas emissions, particularly when data centers rely on non-renewable energy sources. Tackling databloat is essential for aligning digital systems with ESG goals and reducing the hidden carbon costs of our data-driven world.

🔺Example: A company continues to store terabytes of outdated and unused customer records in its cloud systems, consuming energy and resources without adding any value. By implementing a regular data audit and deletion policy, the company could significantly reduce its environmental impact while optimizing storage costs.

🔺Did You Know?: According to the International Energy Agency (IEA), data centers account for nearly 1% of global electricity demand, with this figure expected to rise. Addressing data bloat through efficient data management can play a key role in curbing this growing energy consumption.

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