Amazon Web Services (AWS) analytics News
March 24, 2015
Technologies that support real-time data streaming and analytics aren't for everyone, but they can aid organizations that need to quickly assess large volumes of incoming information.
November 14, 2014
Cazena, a stealth-mode startup founded by former Netezza executives, is looking to solve the pain points that many enterprises have with managing and analyzing big data in the cloud.
July 17, 2014
GraphLab releases new analytics platform to take machine learning techniques to enterprise scale.
July 07, 2014
Spark has been getting a lot of attention lately, but is the big data framework ready for enterprise use?
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Data architecture and cloud were strangers at first, as security concerned IT. That will change, say reporters in the latest Talking Data podcast. Continue Reading
MapR is a software company based out of San Jose, California that was founded in 2009. Continue Reading
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As company data and processes are moved to the cloud, it makes sense for organizations to begin using cloud BI and analytics and keep many business tools in the same place. But companies shouldn't feel cornered into cloud BI. Instead, hosted BI ... Continue Reading
Marketing analytics services provider SumAll has implemented a big data environment that includes systems on two different public cloud platforms. Continue Reading
Deploying big data systems in the cloud has become a popular path for Web-oriented companies. But many traditional enterprises aren't going there yet with their vaults of big data. Continue Reading
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Cloud business intelligence platforms offer companies a faster, easier way to analyze data, thanks to reduced capital costs and streamlined system design. Continue Reading
Deploying cloud databases might be relatively easy, but designing an effective cloud-based big data architecture isn't so simple, says consultant David Linthicum. Continue Reading
Business intelligence and advanced analytics applications have yet to make a big mark in the cloud, despite vendor efforts to push cloud analytics. Continue Reading
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Analytics as a Service can reduce time and cost of data analysis for enterprises. However, relying on black-box analysis can be a risky proposition. Continue Reading
Business intelligence gained from mining big data sources and cloud data analytics can present huge gains for companies that know what they're doing. Continue Reading
A data analytics project often includes a high price tag and a long implementation cycle. Adopting Analytics as a Service can help with both. Continue Reading