Why does this matter?
Facebook and Twitter and to some extent LinkedIn and there could be others in the future are designed and run by the Generation Y.
Why talk about Facebook, Twitter and LinkedIn?
After all, these three have purposely created a perception that they are successfully tackling the Big Data problem in the Social Media spectrum.
We don't know to what extent these three social media companies are truly successful in mastering the Big Data problem, and some may first probe whether they truly understand what Big Data Problem means?
Yes, it is Big Data Problem and not Big Data problem.
The capacity to understand the semantics in the above statement imply that the reader is already aware that a problem that 53% of businesses are unwilling to confront Big Data Problem or that the reader falls in the majority population segment that does not yet quite fathom the significance of an underlying business failure across the board.
If you have the passion and willingness to understand why it is a Problem and not a problem, keep reading.
To be precise, as usual, I will not describe what Big Data means or how to apply Hadoop or explain to you how Facebook or Twitter or LinkedIn have mastered Big Data problem in their own might. Because that is not Virtual. But, for a pure technologist I have included some references to public sources of knowledge for further pleasure reading. I have also included references to public sources of literature and articles for further exploratory reading.
The transistor has become the basic building block of the digital age. Today, an average car has more than a million lines of code; there are three million lines of code tracking your checked baggage (with that kind of effort, it's hard to believe that our bags are lost as often as they do); and more than a billion lines of code are included in the workings of the latest Airbus plane.
Quite simply, there are more than a billion transistors per human.
The advent of Social Media has prevented gaining true understanding of the Big Data Problem, which is reflected in the latest Forrester's ® "How Social CRM Benefits From Big Data". The content of this article provides inferences to the point I am about to make. To quote Forrester ® "... To align your social CRM and Big Data strategies, leverage the scalability of next-generation enterprise data warehouses (EDWs) and only consider adopting Hadoop and other bleeding-edge approaches if you're comfortable with the risks of moving to this still-immature cloud-based approach....". This alone draws my most skepticism.
Further, Forrester ® says "CIOs Are Not Ready To Support Business Innovation". "Only 45% of the firms surveyed have groups dedicated to innovation. Fewer than half of firms have defined processes to evaluate the ideas generated through innovation programs, and only a third have funds dedicated to incubating and commercializing those ideas deemed promising."
Probably the most popular article in this series is by McKinsey, it calls "Big data: The next frontier for innovation, competition, and productivity."
Big Data is important but I personally think McKinsey and Forrester ® have most definitely NOT used the Polaroid wide angle lens.
Big Data has not yet seen the boom it deserves because Business Innovation is stagnant not only in US but all over the world. It's not to call an end to Technology Innovation, but Big Data Problem is a systemic issue.
That's the Big Data Problem, as I call it.
1. Generation Y from Wikipedia. http://en.wikipedia.org/wiki/Generation_Y
2. Generation X from Wikipedia. http://en.wikipedia.org/wiki/Generation_X
3. Big Data for Enterprises by IBM. http://www-01.ibm.com/software/data/infosphere/hadoop/
4. Big Data from Wikipedia. http://en.wikipedia.org/wiki/Big_data
5. Hadoop from Wikipedia. http://en.wikipedia.org/wiki/Hadoop
6. Facebook from Wikipedia. http://en.wikipedia.org/wiki/Facebook
7. Twitter from Wikipedia. http://en.wikipedia.org/wiki/Twitter
8. LinkedIn from Wikipedia. http://en.wikipedia.org/wiki/Linkedin
9. Wide-Angle Lens from Wikipedia. http://en.wikipedia.org/wiki/Wide-angle_lens
10. Forrester ®. http://www.forrester.com/home
Post a Comment