We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Creating a More Efficient Data Center
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Cloud Computing > Creating a More Efficient Data Center
Big DataCloud ComputingCommentaryData WarehousingExclusive

Creating a More Efficient Data Center

Cameron Graham
Cameron Graham
6 Min Read
SHARE

As the world increasingly relies on technology, the need for data storage has exploded. In fact, 90 percent of the data stored today was generated in the past two years.

As the world increasingly relies on technology, the need for data storage has exploded. In fact, 90 percent of the data stored today was generated in the past two years. Cloud computing has become the norm, and corporations and private citizens regularly use virtual machines throughout their day.

What we often don’t consider is how that data collection and storage affects other aspects of our lives. We get excited about having access to huge quantities of on-demand media (think Spotify, or Netflix), but we rarely stop to think about where that information is stored. In the end, even data has to reside in a physical location.

Large corporations multiply such data by millions. When you consider the sheer volume of information that must be stored and relayed at any given time, it really does beg the question: Where does it all go? The answer is a data center, and the companies offering cloud computing and storage house their data in some massive facilities.

Big Data’s Carbon Footprint

Once you start thinking about how much electricity it takes to power the servers that house all this information, the sheer magnitude becomes clear. To put it in perspective, one large data center can use as much electricity as a small town. What constitutes a “large” data center? A typical data center may be over 15,000 square feet. Microsoft’s main data center in Chicago is over 700,000 square feet, and uses enough electricity to power approximately 46 small towns.

That might sound big, but it’s not even close to the largest one out there. Digital Realty, also in Chicago, covers 1.1 million square feet. The sheer sizes of these data centers certainly put into perspective the amount of electricity we use on a daily basis, and the usage is only going to continue growing. After all, as previously stated, 90 percent of the data in these massive centers was created in the past two years. Wearable technology is just starting to take off. The business analytics market is rapidly expanding. It’s impossible to say how much more data we’ll generate in just a few years, let alone a decade. That begs the question – is there a way to make these centers more efficient?

Seeking the Solutions

Because Internet traffic is often unpredictable (think viral memes, or breaking news stories), the servers in data centers are kept continuously running, whether or not they’re in use. The result is that (according to a report from McKinsey & Company) the average data center uses just 6 to 12 percent of its electricity for actual computation. The other 90 percent or so is used to keep the servers idle, in case of a traffic spike or sudden crash. In other words, 90 percent of data center energy is wasted on machines that aren’t in use. Whether this number can be reduced will depend largely on advanced in hardware, or more efficient traffic-scaling tactics.

Even if the servers are running full time, the energy supplying these centers can still be reduced, or at least made cleaner. Companies such as Google and Apple have started to devise ways to do just this.

Google Energy, a subsidiary of Google, has purchased entire wind farms, and smaller stakes in others, with the intention of using the energy created for running cleaner data centers. Any extra energy produced can also be sold on the open market, creating competition for traditional power companies, and theoretically keeping down public prices.

Apple meanwhile, recently constructed a solar farm in North Carolina to power their massive data center. The project has worked so well the company is now seeking additional solar power opportunities. The latest plan is to develop another solar farm in Nevada for its Reno data center.

Clever, resourceful design can also provide clean solutions. Google, for instance, converted an old mill in Finland into a data center in 2009. The center has since become one of the most efficient in the world, simply by using readily available seawater. The water provides a cooling system for the servers, which means Google doesn’t have to install 24/7 air-conditioning systems.

Currently, data centers are responsible for approximately 17 percent of technology’s carbon footprint. As wearable technologies and the Internet of Things continue to grow, this will only increase. Companies such as Google and Apple have made strides toward greater sustainability, and other companies will likely follow. However, there’s no telling where our data needs will end, or how fast they’ll grow. Is it possible to keep up?

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Best VMware Alternatives in Thailand for Private Cloud and HCI Deployments -- AI-generated illustration
Best VMware Alternatives in Thailand for Private Cloud and HCI Deployments
Cloud Computing Exclusive IT
Using Safety Metrics and Incident Data to Reduce Construction Risk and Insurance Costs -- AI-generated illustration
Using Safety Metrics and Incident Data to Reduce Construction Risk and Insurance Costs
Big Data Exclusive
How Business Intelligence Can Help Small Businesses Build Better Decision Rules -- AI-generated illustration
How Business Intelligence Can Help Small Businesses Build Better Decision Rules
Business Intelligence Business Rules Exclusive
Stellar Repair for MS SQL Review: Can It Repair SQL Databases? -- AI-generated illustration
Stellar Repair for MS SQL Review: Can It Repair SQL Databases?
Exclusive Software SQL

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Stuck in First Gear
Business IntelligenceCRMData MiningData Visualization

Stuck in First Gear

5 Min Read
Eli Lilly’s Dave Powers talks compellingly about how the...
Business IntelligenceData MiningData WarehousingPredictive Analytics

Eli Lilly’s Dave Powers talks compellingly about how the…

1 Min Read
Data Management: Reaching Into the Cloud
Business RulesCloud ComputingData WarehousingPolicy and GovernanceSecurity

Data Management: Reaching Into the Cloud

7 Min Read
The Total Cost of Big Data Performance [VIDEO]
Best PracticesBig DataCulture/LeadershipData WarehousingHadoopSoftwareSQL

The Total Cost of Big Data Performance [VIDEO]

1 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?