Big Data In 2014: Top Technologies, Trends - InformationWeek
Big Data In 2014: Top Technologies, Trends
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User Rank: Strategist
4/1/2014 | 1:43:01 PM
Anonymous Fool
Truly the Internet is the wild west! We are tracked by multiple information vendors whereever we go in exchange for free apps. opinions, shopping, socializing and free-form surfing. It is not enough that we are bombarded by advertising. Our information is shared, tracked, monitored and yes, unwittingly stolen, all in the name of expeditious presentation or "enhanced user experience". The aspect of this that is truly frightening is the ability of predictive analytics to know exactly where you are going to be and what you will say and do next. So be on your best behavior boys and girls, because "big brother" is not only watching, he is waiting!
User Rank: Apprentice
4/1/2014 | 11:27:46 AM
Re: Consumer data exploitation is SOP, apparently
Totally agree, what about personal data security? I understand that having a lot of data on consumers is good for business strategy, but ultimately business is about serving people and it should *not* be about exploiting them. As a culture we need a digital security revolution that favors people over corporations (privacy policies are not enough - they are written so as to confuse the average person, who can't understand most of the legal jargon). How can we reconcile increased database integration in our lives with the privacy that we all want?

James, DCIM solutions expert
User Rank: Strategist
1/2/2014 | 5:09:45 AM
Deploy Big Data solutions rapidly in Cloud
The success of extracting people oriented Business Intelligence depends upon the ability
to collect every possible expression and derive the business observations from it.
However, often the requirements for big data analysis are really not well understood by
the developers and business owners, thus creating an undesirable product.

There is a need to develop expertise and process of creating small scale prototypes quickly
and test them to demonstrate its correctness, matching with business goals.

I have registered for a webinar on Deploy Big Data solutions Rapidly in Cloud through Harbinger's ABC model (Agile-Big Data-Cloud), it looks a promising one
Li Tan
Li Tan,
User Rank: Ninja
1/1/2014 | 8:46:32 PM
Re: Ekxhaust or intake data?
In my humble opinion, year 2014 would be a year of big-data. There will be no more "dark data". The enterprise will treat data like a kind of gold mine and exhaust all possible big-data analytics to get value from them. There is no gabage data but it just depends on how your analyze them and extract business value.
User Rank: Ninja
12/31/2013 | 2:42:54 AM
Consumer data exploitation is SOP, apparently
Funny how in the rush to consume/exploit consumer data particularly as regards LinkedIn not a word is uttered regarding privacy or security thereof.
User Rank: Strategist
12/30/2013 | 1:46:12 PM
Ekxhaust or intake data?
Re: Dan Malligner: We just installed a new double oven that can be controlled remotely by smart phone. If we do so, would that be "exhaust data" or "intake data" on the Internet of  Things?
Ellis Booker
Ellis Booker,
User Rank: Moderator
12/30/2013 | 10:59:36 AM
Thar's Gold in Them Thar Black Hills
I was a bit surprised that none of my contributors on this story mentioned that businesses--most of which are now collecting tons more data than they did a decade ago--aren't looking at ways to monetize "incidental" data sets. This is data, perhaps collected in the routine course of things by sensors, that might be very valuable to third parties. There are data privacy permissions to work out, but that's what the EULA is for! Right? Hahaha.

But seriously, this data, which Gartner labeled "dark data" a year or so ago, is going to be a big topic in 2014, I predict.  
User Rank: Author
12/30/2013 | 10:29:19 AM
Quality data
"In the upcoming year, companies that are able to define which datasets will have the most impact on crafting a great customer experience will succeed in gaining the competitive edge." The Salesforce exec makes a good point here. We all know we can gather huge datastreams now. Which ones really matter to your customer experience?

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