ResearchOutlook: Big data and analytics in 2015
The year 2015 will be one in which data and analytics technologies become more standardized, more broadly adopted, and more successful. Read more »
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The year 2015 will be one in which data and analytics technologies become more standardized, more broadly adopted, and more successful. Read more »
Whether you’re running it on premises or in the cloud, Hadoop leaves a lot to be desired in the ease-of-use department. The Hadoop offerings on the three major cloud platforms (Amazon’s… Read more »
New features included in Hadoop’s latest releases go some way towards freeing an increasingly capable data platform from the constraints of its early dependence on one specific technical approach: MapReduce. Read more »
During the second quarter of 2014 we saw the rise of Docker as well as a few providers pushing harder to the cloud, the government finally beginning to make significant movement… Read more »
Google rolled out a slew of new cloud services at I/O, including one called Dataflow that’s meant to put standard MapReduce to shame. It’s advertised a much simpler way to build… Read more »
Hadoop as a Service could make it much easier for you to build a big data capability inside your organization and run it at scale. Read more »
In the world of Hadoop, new components quickly shed their breakthrough status to become standard features. Read more »
Netflix is at it again, this time showing off its homemade architecture for running Hadoop workloads in the Amazon Web Services cloud. It’s all about the flexibility of being able to… Read more »
At the AWS Re: Invent conference, engineers from Pinterest, Flipboard and Yelp detailed some of the strategies their companies employ in order to keep costs low as computing demand increases. The… Read more »
According to Amazon Web Services Chief Data Scientist Matt Wood, big data and cloud computing are nearly a match made in heaven. Limitless, on-demand and inexpensive resources open up new worlds… Read more »