Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Implications of the Organization of Data
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Implications of the Organization of Data
Data MiningExclusive

Implications of the Organization of Data

Editor SDC
Editor SDC
6 Min Read
SHARE

It’s no surprise that the amount of data and information that exists – much less is becoming increasingly available – is monumental. In 2010, the internet will be about 1.2 zettabytes in size. Haven’t heard of zettabytes? A zettabyte is one trillion gigabytes. So right now, there is about 1.2 trillion gigabytes, or to help conceptualize that: about 2.6 million trillion mp3s. That’s a lot of information. And the number is rising – fast. In 2008, there were 281 billion gigabytes, and our 2010 number is on track to increase 44-times by 2020.

It’s no surprise that the amount of data and information that exists – much less is becoming increasingly available – is monumental. In 2010, the internet will be about 1.2 zettabytes in size. Haven’t heard of zettabytes? A zettabyte is one trillion gigabytes. So right now, there is about 1.2 trillion gigabytes, or to help conceptualize that: about 2.6 million trillion mp3s. That’s a lot of information. And the number is rising – fast. In 2008, there were 281 billion gigabytes, and our 2010 number is on track to increase 44-times by 2020.

One of the implications of such an exponentially large increase in the amount of information available is the way in which that information is organized, categorized, consumed and shared by people.

More Read

How to Measure the Business Impact of Data Quality
The Fascinating Intersection Of Social Media, Big Data And Forex Trading
What If We Could Feel the Big Data Sugar Rush Faster?
What To Learn About 4K Video Compression In The Age of Big Data
Death Of The Relational Database

Google was one of the earliest to cash in on this question and amazingly derives over 99% of its $24 billion annual revenue just for displaying text ads next to its search results. But not only is there a serious commercial interest in figuring out the best way to categorize data, there are many cultural, governmental, economic and political reasons as well.

For example, resulting from the fact that people are increasingly using the internet to find information on any and all questions that arise on a daily basis, the CDC even started using the geo-location data for flu sympton-related searches in Google to track the spread of the flu because that data was far more accurate than all of the other indicators that were previously available.

But when most people use an entity like Google to search for information – about 120 million searches are performed per hour – there becomes an issue of siloing – or the hyper-personalized categorization and isolation of information. The way that Google organizes its information is a tightly kept secret, and even if it were public, it would be so complicated most people could not make heads or tails of it. However, the ranking of websites appearing in search results plays an enormous role in the actual information we end up finding. That should seem obvious – that the way information is organized influences what information we find – but encyclopedia’s were a very different story.

Humans performed the algorithms to determine where to find the information, and then we would go take the book off of the shelf that seemed the best fit. Our process of finding that information in almost no way at all had an affect on how that information would be organized in future searches. However, when looking for information online, the way in which that information is displayed to us is largely hidden from view and is constantly evolving and changing.

Social-networking sites like Facebook provide an even more potentially compartmentalized experience because we are only seeing information from people that we like enough to be friends on facebook with and aren’t annoyed with enough to hide their updates from our view. Because we are being bombarded with so information constantly throughout our work, social, recreational and even downtimes, we quickly make decisions (like hiding a feed, voting up a link, favoriting an item) that actually significantly impact how future information will be displayed to us. Even just visiting a website found from a Google search influences how future rankings will be organized for your personally. But are we thinking about that when trying to find that last-minute statistic for an imminently due paper or report? Certainly not.

These unintended consequences, a theme of my writing and thought in the past, is ever-present and of course under-thought about in the realm of information gathering. Google may be an almost invaluable resources (imagine explaining to someone 50 years ago how easy it would be to instantly, even from our mobile phones, be able to find almost any information on anything) but we need to consider the ways that our use of these resources will affect the organization of information and thereby our thinking, our culture, our government and our lives.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

protecting patient data
How to Protect Psychotherapy Data in a Digital Practice
Big Data Exclusive Security
data analytics
How Data Analytics Can Help You Construct A Financial Weather Map
Analytics Exclusive Infographic
AI use in payment methods
AI Shows How Payment Delays Disrupt Your Business
Artificial Intelligence Exclusive Infographic
financial analytics
Financial Analytics Shows The Hidden Cost Of Not Switching Systems
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

A Card-Swipe for Medical Tests

2 Min Read
Cryptocurrency blockchain for prevention to accounting fraud
Best PracticesBlockchainBusiness IntelligenceExclusiveITRisk ManagementSecurity

Could Cryptocurrency Be the Answer to Accounting Fraud?

7 Min Read

AT&T studies user data to cope with iPhone crunch

4 Min Read
Linux device drivers data
Big DataExclusive

Key Tips to Writing Linux Device Drivers for Big Data Environments

6 Min Read

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

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?