Jobs for Data Scientists Explode Across The Market

In what's likely just the beginning of a long-term story, job listings indexed by employment search engine Indeed.com indicate that market demand for data scientists and people capable of working with "big data" took a huge leap over the last year. David Smith of Revolution Analytics performed several related queries and posted the results today on his company's blog.

The most common definition of "big data" is datasets that grow so large that they become awkward to work with using on-hand database management tools, such as Excel. It's a soft term and is super trendy right now - but that doesn't mean the trend's not big and real.

via readwriteweb.com

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#Facebook and #LinkedIn Block #Apps TOS-Violating Browser #Extension and Apps

Late last week, a Google Chrome browser extension called Facebook Friend Exporter received a flood of new interest as Google+ users looked for a way to import their Facebook friends into Google’s social network, Circles. However, since the app collects contact information from Facebook, it violate’s the site’s terms of service, and Facebook implemented a throttling mechanism that prevents it from scraping email addresses.

LinkedIn also blocked two Facebook professional networking apps: BranchOut for trying to profit from pulling in LinkedIn profile data into an enterprise recruiting search tool,and Monster’s BeKnown for sending promotional messages through LinkedIn’s messages API. These are the latest examples of long-running issues with platform owners and developers both trying to provide the same value to users and customers.

The blocking of apps by Facebook and LinkedIn is a sign of the growing pains of social platforms that with time have built valuable collections of user data. There’s a fine balance between promoting innovation and giving away competitive advantage. Developers should expect the platforms to protect themselves, and should know that just because they aren’t shut down immediately doesn’t mean their data usage has been approved. While there are monetary and philosophical rewards for operating in the gray area, there’s also great potential for loss of development resources. Read more at www.insidefacebook.com

Related articles

• LinkedIn Cuts Off API Access To BranchOut, Monster's BeKnown And Others For TOS Violations (timothymununuzi.wordpress.com)
• Should LinkedIn Be Afraid of BranchOut and Facebook? (gigaom.com)

Zemanta helped me add links & pictures to this email. It can do it for you too.

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#Data is the new platform, and #social is the intelligence — #Tech News and Analysis

Michael was on hand to present the Accenture Technology Vision 2011, a cross-industry research project that takes stock of the evolving trends in IT and how they will impact business and society as a whole. The research team looked into 400 hypotheses based on input from scientists, architects and engineers. They found fifty that held true, which they consolidated into eight trends:

• Data takes its rightful place as a platform.
• Analytics is driving a discontinuous evolution from business intelligence.
• Cloud computing will create more value higher up the stack.
• Architecture will shift from server-centric to service-centric.
• IT security will respond rapidly, progressively—and in proportion.
• Data privacy will adopt a risk-based approach.
• Social platforms will emerge as a new source of business intelligence.
• User experience is what matters.

via gigaom.com

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NYTimes testing crazy data visualization tool: [nytlabs] Project Cascade

via nytlabs.com

description
Cascade allows for precise analysis of the structures which underly sharing activity on the web.

This first-of-its-kind tool links browsing behavior on a site to sharing activity to construct a detailed picture of how information propagates through the social media space. While initially applied to New York Times stories and information, the tool and its underlying logic may be applied to any publisher or brand interested in understanding how its messages are shared.

Cascade was developed by R&D using open source tools including Processing and MongoDB.

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5 Predictions for Online Data In 2011

Summary

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In the midst of all the data-driven innovation we are seeing, this will be also the year of separating the non-trivial from the trivial.

It’s one thing to acquire terabytes of data, and it’s quite another to cleanse, disambiguate and mobilize that data in service of real-time insights into markets young and old.

The intellectual and experiential barrier to entry in social media, I think it’s fair to argue, is relatively low. It’s therefore harder to distinguish oneself, but certainly easy to get started. That’s been the beauty of the experiment all along.

Until now, data science and data marketing have been relegated to the realm of a self-selecting and highly motivated few, but as new tools democratize access, we’ll start to see a different dynamic.

But with great power comes… well, the Mark Twain quote I used last time still applies: “There are three kinds of lies — lies, damned lies, and statistics.”

Data can create new insights and open new opportunities, but it can also be twisted to serve an agenda or simply tell us what we want to hear.

It’s all in there, though — there in the data somewhere, if you know what you’re doing and how to do it well. Data knows everything we know, everything we don’t know, and, as it turns out, even a few things we don’t know we don’t know.

Full post at: mashable.com

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Visual Loop - Data, Information, Knowledge, Wisdom? by David McCandless

via visualoop.tumblr.com

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