The Carbon Footprint of Storing Data

The Carbon Footprint of Storing Data

The Carbon Footprint of Storing Data. Cloud storage, mainly operated through large and densely- packed data centers, constitutes a non-negligible part of it.

We collect things and, as long as we attribute value to these things, we want to preserve them. The digital age has changed the way we keep things. To be completely exact, these are not 'things' anymore. We name them data.

Think of photos. I'm 25 and I have printed-format photos of my childhood travels only. I usually don't print photos, my parents do it. **My parents used to buy photobooks, I don't - I have a cloud space.**

The new generations are completely accustomed with keeping digital the things they are affectioned to. From an environmental standpoint, one may think that we're no more creating dumps of old photobooks and so we are contributing to make the world greener. This is actually true, **but how much greener? Probably less than what you thought**.

The current ways of storing data have an impact on the environment - Greenpeace has determined that the Information Communication Technologies are responsible for 10% of the world's energy demand (Mark P. Mills, The Cloud Begins With Coal, Aug’13; Greenpeace International, How Clean Is Your Cloud?, Apr’ 12).

The why is simple: what you think is on your cloud is actually in someone else's hard drive and this hard drive needs maintenance energy, especially for cooling. As all the big trends in changes, they're made of frequent methodical actions, not of big rare events. **This is the case of the portion of climate change due to cloud computing - it is our actions that fuel it.**


Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

50 Data Science Jobs That Opened Just Last Week

Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.

Applications Of Data Science On 3D Imagery Data

The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.

Data Science Course in Dallas

Become a data analysis expert using the R programming language in this [data science]( "data science") certification training in Dallas, TX. You will master data...

32 Data Sets to Uplift your Skills in Data Science | Data Sets

Need a data set to practice with? Data Science Dojo has created an archive of 32 data sets for you to use to practice and improve your skills as a data scientist.

Data Cleaning in R for Data Science

A data scientist/analyst in the making needs to format and clean data before being able to perform any kind of exploratory data analysis.