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: A New Economy 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 > Data Management > Culture/Leadership > A New Economy of Data
CommentaryCulture/LeadershipData QualityExclusiveNew ProductsUnstructured Data

A New Economy of Data

Editor SDC
Editor SDC
3 Min Read
SHARE

There is a revolution in data. Yet the revolution is not as much a new technology as it is a new economy of data. Technology has made it easy for every web and mobile app, from social networks and twitter mashups to daily deal sites and iPhone memo apps to quickly and easily store, edit, and update their own data. In fact, the growth of the social web across all social media and social networks has created an underground metropolis of databases.

Data sounds boring and technical, or perhaps scary and private, but the truth about data (or the next era of “data 2.0”) is that all these hundreds of thousands of blogs, social networks, mobile apps need to securely access each other’s data. Personal data aside, if you wanted to build an awesome mobile restaurant review geolocation app you don’t want to build your own database of all restaurants, you don’t want to have to update the restaurant database (hopefully someone bigger than you keeps it updated for you), and you might even want to seed your app with restaurant reviews from somewhere else. In other words, you can’t build your app until you get access to someone else’s data.

This is one of the biggest hurdles for 2011: how these hundreds of thousands of web and mobile apps can access, aggregate, or collaborate on data using services like SimpleGeo, Factual, Socrata, Data.gov, or any of the 50+ data startups at the Data 2.0 Conference in San Francisco on Monday, April 4th.

My personal passion for “data 2.0” questions revolves around one central discussion. Will these hundreds of thousands of web and mobile apps each have their own private database and their own API amidst a jungle of API’s calling other API’s, or is there a possibility of a more “centralized” shared database environment like Google Freebase? Yet equally important are the ideas and topics around “what to do with this new online access to data”. 

More Read

3 free data sources for analytics and Business Intelligence
3 Data Sources to Boost Analytics and Business Intelligence
Determining Perception Gap Through Twitter [INFOGRAPHIC]
Super Bowl 12: It’s All Over But For Measuring the Impact of The Shouting
Benefits of PoLP in Stopping Data-Driven Cyberattacks
Why Tech Pros Are Turning To Machine Learning For Career Growth

The Data 2.0 Conference is on April 4th in San Francisco, and you can access our press release here.

 

TAGGED:ApplicationscloudData 2.0 Conference
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Best Age Estimation Software in 2026: Which Facial Age Providers Actually Hold Up -- AI-generated illustration
Best Age Estimation Software in 2026: Which Facial Age Providers Actually Hold Up
Artificial Intelligence Exclusive Machine Learning
Top 8 Multi-Cloud Architecture Tools for Automated Infrastructure Design in 2026 -- AI-generated illustration
Top 8 Multi-Cloud Architecture Tools for Automated Infrastructure Design in 2026
Cloud Computing Exclusive IT
6 Top Agentic SDLC Platforms for Enterprise Engineering Organizations -- AI-generated illustration
6 Top Agentic SDLC Platforms for Enterprise Engineering Organizations
Artificial Intelligence Exclusive
6 Best Runtime Intelligence Tools for Debugging AI-Generated Code in 2026 -- AI-generated illustration
6 Best Runtime Intelligence Tools for Debugging AI-Generated Code in 2026
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Please Don’t Let the Cloud Ruin SaaS

3 Min Read
mobile cloud
AnalyticsBig Data

Your Phone, Big Data and the Cloud

4 Min Read

‘I Don’t Want Your Stinkin’ Cloud!’

3 Min Read

Looking Ahead: Today’s Disruptions, Tomorrow’s Enterprise

12 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

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?