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Amazon Web Services (AWS) analytics News
December 01, 2017
After Cyber Monday, Amazon Web Services techies headed for re:Invent 2017. There, among a deluge of cloud product announcements by AWS, the Amazon Neptune graph database surfaced.
June 29, 2017
A new breed of data analytics tool for data scientists aims to deliver far more than BI software, including predictive analytics and exploratory analytics.
June 22, 2017
Running business intelligence applications in the cloud has yet to take the BI world by storm. Researcher Howard Dresner offers insight on why and discusses the state of cloud BI software.
March 31, 2017
Fitness company Beachbody set up a data lake system in the AWS cloud to support big data analytics applications after deciding that an on-premises deployment would be too complicated.
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There are good reasons to move big data systems to the cloud, but doing so also poses challenges for IT teams on migrating workloads and then managing clusters and system instances. Continue Reading
As cloud computing becomes more common, there are signs that companies increasingly are looking at whether cloud BI and analytics applications should be part of their IT plans. Continue Reading
For the uninitiated, analytics can be overwhelming. How you approach your first analytics project in the cloud can make it bloom or lead to doom. To hit the big time, start small. Continue Reading
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Amazon's Neptune database may change the status quo in the graph technology world. But it could also introduce a wider base of possible users to graph databases, existing vendors say. Continue Reading
The platform war over machine learning tools is heating up. Use our features comparison chart to see how four top vendors stack up and help you decide which is right for your enterprise. Continue Reading
Lenovo and Autodesk are two organizations that are increasing their use of the cloud for analytics applications, looking to lower costs, add flexibility and speed up data processing. Continue Reading
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In some regards, the term big data management can be viewed as an oxymoron. In fact, oxymorons abound in this industry and society -- virtual reality, artificial intelligence, science fiction and awfully good, the ... Continue Reading
Organizations hungry for more revenue are using Hadoop and other big data technologies to break their existing business molds and pursue new strategies and product offerings. Continue Reading
While cloud computing may be convenient and more cost-effective for users, it can also lead to new challenges and requirements in regard to integrating and processing data. 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