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 »
Projects like Apache YARN expand the types of workloads for which Hadoop is a viable and compelling solution, leading practitioners to think more creatively managing data. Read more »
While every development project requires a different set of skills, and the internet of things is still in its earliest stages, there are certain tools with which budding IoT developers should… 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 »
Hadoop far more than the one-trick pony it was once characterized as, and with its new capabilities, businesses are using it to gain real insight and add real value. Read more »
As Hadoop moves towards establishing itself as a key data management platform for the enterprise, there is a new set of challenges it must meet to be regarded as a true… 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 »
Mainframes still account for 60 percent or more of global enterprise transactions. 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 »
Hadoop can be an efficient and cost-effective tool for offloading some of the data processing currently done inside the enterprise data warehouse. Read more »