Big Data Analysis Goes SaaS - InformationWeek

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IoT
IoT
Data Management // Big Data Analytics
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10/27/2014
08:43 AM
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Big Data Analysis Goes SaaS

Software-as-a-service provider jKool offers business users cloud-based, near-real-time analysis of time-sensitive information.

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anon9147189306
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anon9147189306,
User Rank: Apprentice
12/4/2014 | 1:44:48 PM
Re: SaaS is good, but is the live stream reliable?
jKool Cloud platform can be deployed on premises for most demaning use cases. There are organizations that wont go to public cloud and there organizations that will. Cloud and on-premise options let you address your concerns. On demand cloud time series analytics is a viable option for many applications. Why build/buy your own when you can get it on-demand as a service?
pfretty
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pfretty,
User Rank: Ninja
10/27/2014 | 6:21:28 PM
It's a convergence
The trend towards a SaaS environment will continue, especially as mobility keeps growing. All these disruptive technologies together are what make the promised IoT environment a reality. Of course as another commenter suggested, we need to make sure the bandwidth exists to support the remote access or the entire evolution will fade rapidly. 

 

Peter Fretty
Charlie Babcock
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Charlie Babcock,
User Rank: Author
10/27/2014 | 3:19:43 PM
SaaS is good, but is the live stream reliable?
The idea of an online service for analyzing time time-series data is a good one, but I wonder what sort of network is needed to make it work. The Internet is the likely carrier for at least part of the trip, but e large volume of time-sensitive data might present a problem, given the varying degrees of capacity and verying routes of data segments. This service, if it served a mission critical function, like quick responses to traffic on the Web site, might need private line access with guaranteed quality of service..  
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