Big Data In 2014: 6 Bold Predictions - InformationWeek

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Big Data In 2014: 6 Bold Predictions
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RobPreston
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RobPreston,
User Rank: Author
12/23/2013 | 2:37:58 PM
Big/Small Data
As for No. 2, most companies still aren't very good at small data. Get that right first, project by project. Get some important wins under your belt. 

 
ChrisMurphy
100%
0%
ChrisMurphy,
User Rank: Author
12/23/2013 | 3:25:35 PM
Cloud Data
I have doubts about companies putting critical big data sets in public clouds for analysis. Is the trust high enough, and the transport speeds fast and cheap enough, to make this leap in the coming year?
Li Tan
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50%
Li Tan,
User Rank: Ninja
12/24/2013 | 12:06:08 AM
Re: Cloud Data
For the enterprise the security is always of major concern. I cannot imagine that the big enterprise, especially those ones that have concern on IPR, information security will put their own data to public cloud. They may deploy their private cloud solution but then we create the silos. Establishing big data platform and cloud computing from scratch is costly and time-consuming. So we need to leverage the service from public cloud/big-data vendors. But the security is always of concern.
aditshar
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50%
aditshar,
User Rank: Apprentice
12/26/2013 | 6:30:52 AM
Re: Cloud Data
After security and storage, one challenge i see with Big Data is how we can capture the most important data as it happens and deliver that to the right people in real-time.
how we can capture the most important data as it happens and deliver that to the right people in real-time. - See more at: http://spotfire.tibco.com/blog/?p=6793#sthash.6PQXFwvi.dpuf
sushantsaraswat
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sushantsaraswat,
User Rank: Strategist
1/15/2014 | 4:38:42 AM
Deploy Big Data solutions in Cloud
Big data analytics is going to be mainstream with increased adoption among every industry and forma virtuous cycle with more people wanting access to even bigger data.

However, often the requirements for big data analysis are really not well understood by the developers and business owners, thus creating an undesirable product.

For organizations to not waste precious time and money and manpower over these issues, 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.

Following up on this, I came across and 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 http://j.mp/19xJ6ew
KrunoslavK129
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50%
KrunoslavK129,
User Rank: Apprentice
1/17/2014 | 4:22:18 AM
Hadoop or not?
Is it only me, or do others also see incongruency between points 1 and 5? What do you think will be the future of Hadoop? Niche or mainstream technology? Why?


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