With containers, you can build once, run anywhere – no worries about underlying dependencies.
.@philsimon on the specific risks to data quality posed by cloud computing.
I've seen a number of articles and webinars recently that discuss data integration as a cloud-based service. So I thought it was worth exploring what this really means in the context of big data – specifically when the objective is to exploit many sources of streaming data for analytics. My initial reaction
I feel like I'm singing a song called Data in the Sky – With Options! The cloud is forever in our minds these days as a lower cost option because it requires fewer resources to address our data needs. Cloud solutions are an increasing part of many organizations' budgets every year. Whether enterprise data is
David Linthicum wrote a blog post entitled "3 winners, 3 losers in the move to big data" on InfoWorld and notes that traditional vendors "did not see this coming" (big data that is). Since David made some interesting points, some of which I agree with, some I disagree, I felt it worthwhile
It’s hard to believe, but now that 2011 is almost over it’s time to look ahead. The technology pundits are starting to publish their 2012 predictions, and it’s not surprising to see topics like analytics, cloud, big data, mobile, social networking, virtualization, open source on these lists. Instead of creating