Big Data: The New Natural Resource


BusinessWorld

Facebook, Twitter, Pinterest. Destroyers of our attention span or innovations that make us smarter and closer? We’re still trying to understand how today’s technologies—which many can’t seem to live without—are transforming us.

Still, there is one change they’ve brought about that’s indisputably positive, one that most people intuitively get.And it’s this: if we live in an information age, then the flip side is we’re all information analysts.

Cloud computing, mobile and social computing are all changing how we communicate. Our strategy for big data and analytics has some core tenants, which provide a common experience. The combination of cloud, social, mobile and big data and analytics provides the user with a role-specific experience that is easy-to-use and customizable. The cloud enables organizations to start small, grow rapidly and scale massively.

Why Big Data Is The New Natural Resource.

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Brief Introduction: Dive Into the World of Data


Data Science- All you need to know.

What is Data science?

Data science is magic.

Magic, not just because it can grow exponentially and unpredictably, neither because of the vastness in context of what each data holds within, but also because it has capability to re-define the entire process of how the perfectly armored and sophisticated model or a product (in theory) can be actually nothing but perfectly imperfect. What is interesting is, even when we do not know “why” the product’s marketability is low, we are ready to make decision with “what” is the reason for product’s marketability to be low. The data is everything. Once you understand the concept why it is important, you begin to know that everything could be possibly made perfect (as close to it as possible).


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Is There a Future For Traditional Apps in The Cloud?


Gigaom

In the article, “To Cloud or Not To Cloud: The Uncertain Future of the Traditional Enterprise App,” Kevin Parker, a principal architect for Rackspace, explores which kinds of traditional apps will thrive in the cloud and how companies that rely on older software can begin the journey toward cloud competence. While traditional apps aren’t cloud-aware, they are far from “legacy” or “obsolete.” On the contrary, analysts who frame the cloud as a one-size-fits-all solution for every flavor of traditional applications are ignoring the complexity that enterprises face with adoption.

In spite of this complexity, however, there are clear benefits to moving these traditional apps to the cloud:

  • You can adopt the cloud gradually:  Think of cloud as a journey, not a sprint. Take a monolithic application—one that is tightly coupled—and break it apart. This makes it easier to determine which pieces run better and are easier to manage in…

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Keep Your Personal Information, Personal: What The Celebrity Photo Hack Can Teach Us


Technopreneurph

You may not be Jennifer Lawrence or Kate Upton, or even know or care who those women are, but you should be aware of the latest “scandal” that included risqué photos of the pop stars and the good old cloud.

Over the Labor Day weekend, it was reported that nude photos of the high-profile celebrities Keep Your Personal Information, Personal: What The Celebrity Photo Hack Can Teach Us image selfiewere leaked online via the web forum, 4chan, by a “hacker” who was able to get into the celebrities’ personal phone storage and lift the photos from their cloud accounts. The hacker reportedly was looking to make some cash off the photos (although the identity of the hacker hasn’t been uncovered) and had made an announcement that there were more photos that would stay under wraps if he/she received PayPal donations.

Although some of these photos were said to be forgeries, representatives for Jennifer Lawrence and Mary E. Winstead confirmed their authenticity.

And so the…

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Big Data and Statisticians, Revisited (Video)


What's The Big Data?

Data Science, Big Data and Statistics – can we all live together? from Chalmers Internal on Vimeo.

Terry Speed on how (and a bit on why) statisticians have been left out of the big data movement. Best slide comes at 34:20 and I wish Speed have talked more about how his “personal statistical paradigm” contrasts with the ideology of big data.

“This is the Golden Age of statistics–but not necessarily for statisticians”–Gerry Hahn

“Those who ignore statistics are condemned to re-invent it”–Brad Efron

HT: Nathan Yau

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