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 in ecommerce
    Analytics Technology Drives Conversions for Your eCommerce Site
    5 Min Read
    CRM Analytics
    CRM Analytics Helps Content Creators Develop an Edge in a Saturated Market
    5 Min Read
    data analytics and commerce media
    Leveraging Commerce Media & Data Analytics in Ecommerce
    8 Min Read
    big data in healthcare
    Leveraging Big Data and Analytics to Enhance Patient-Centered Care
    5 Min Read
    instagram visibility
    Data Analytics Plays a Key Role in Improving Instagram Visibility
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: How Open is Too Open?
Share
Notification Show More
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Software > Open Source > How Open is Too Open?
CommentaryOpen SourceUnstructured Data

How Open is Too Open?

MIKE20
Last updated: July 18, 2011 12:47 pm
MIKE20
5 Min Read
SHARE

Contents
Mixed FeelingsSimon SaysFeedback

If you’re in the technology or information management spaces, you’ve probably heard the axiom “Information wants to be free.” While accounts vary, many attribute the quote to Stewart Brand in the 1960s.

More Read

Can Fossil Analysis Software Help Us Plan Curriculum?

Google Engineering and Insights Into Human Nature
13 Retail Companies Using Data to Revolutionize Online & Offline Shopping Experiences
What is the Future of Social Media Analysis?
A Poem to Inspire Lower Management Level Managers

If you’re in the technology or information management spaces, you’ve probably heard the axiom “Information wants to be free.” While accounts vary, many attribute the quote to Stewart Brand in the 1960s.

Today, information is becoming increasingly more prevalent and less expensive, spawning concepts such as Open Data, defined as:

the idea that certain data should be freely available to everyone to use and republish as they wish, without restrictions from copyright, patents or other mechanisms of control. While not identical, open data has a similar ethos to those of other “Open” movements such as open source, open content, and open access. The philosophy behind open data has been long established (for example in the Mertonian tradition of science), but the term “open data” itself is recent, gaining popularity with the rise of the Internet and World Wide Web and, especially, with the launch of open-data government initiatives such as Data.gov.

Again, you may already know this. But consider what companies such as Facebook are doing with their infrastructure and server specs–the very definition of traditionally closed apparata. The company has launched a project, named OpenCompute, that turns the proprietary data storage models of Amazon and Google on their heads. From the site:

We started a project at Facebook a little over a year ago with a pretty big goal: to build one of the most efficient computing infrastructures at the lowest possible cost.

We decided to honor our hacker roots and challenge convention by custom designing and building our software, servers and data centers from the ground up.

The result is a data center full of vanity free servers which is 38% more efficient and 24% less expensive to build and run than other state-of-the-art data centers.

But we didn’t want to keep it all for ourselves. Instead, we decided to collaborate with the entire industry and create the Open Compute Project, to share these technologies as they evolve.

In a word, wow.

Mixed Feelings

Both of these projects reveal complex dynamics at play. On one hand, there’s no doubt that more, better, and quicker innovation results from open source endeavors. Crowdsourced projects benefit greatly from vibrant developer communities. In turn, these volunteer armies create fascinating extensions, complementary projects, and new directions for existing applications and services.

I could cite many examples, but perhaps the most interesting is WordPress. Its community is nothing less than amazing–and the number of themes, extensions, and plug-ins grows daily, if not hourly. The vast majority of its useful tools are free or nearly free. And development begets more development, creating a network effect. Millions of small businesses and solopreneurs make their livings via WordPress in one form or fashion.

On the other hand, there is such a thing as too open–and WordPress may be an equally apropos example here. Because the software is available to all of the world, it’s easier for hackers to launch Trojan horses, worms, DoS attacks, and malware aimed at popular WordPress sites. To be sure, determined hackers can bring down just about any site (WordPress or not), but when they have the keys to the castle, it’s not exactly hard for them to wreak havoc.

Simon Says

Does Facebook potentially gain by publishing the design of its data centers and servers for all to see? Of course. But the risks are substantial. I can’t tell you that those risks are or are not worth the rewards. I just don’t have access of all of the data.

But I certainly wouldn’t feel comfortable doing as much if I ran IT for a healthcare organization or an e-commerce company. Imagine a cauldron of hackers licking their lips at the trove of stealing highly personal and valuable information surely used for unsavory purposes.

When considering how open to be, look at the finances of your organization. Non-profits and startups might find that the squeeze of erring on the side of openness is worth the juice. For established companies with very sensitive data and a great deal to lose, however, it’s probably not wise to be too open.

Feedback

What say you?

Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

trusted data management
The Future of Trusted Data Management: Striking a Balance between AI and Human Collaboration
Artificial Intelligence Big Data Data Management
data analytics in ecommerce
Analytics Technology Drives Conversions for Your eCommerce Site
Analytics Exclusive
data grids in big data apps
Best Practices for Integrating Data Grids into Data-Intensive Apps
Big Data Exclusive
AI helps create discord server bots
AI-Driven Discord Bots Can Track Server Stats
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Image
Data ManagementHadoopKnowledge ManagementOpen SourceUnstructured Data

The Data Lake Debate: Pro Cross-Examines Con

7 Min Read

The “Four Layer” Model Applied to Unstructured Content

4 Min Read

What’s the Definition of ‘Big Data’? Who Cares?

6 Min Read

Keep an Eye on the emerging Open-Source Analytics Stack

8 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-24 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?