Cloudy Machine Learning For The Masses
If there is one lesson that the big three public cloud providers teach, it is that there is no substitute for breadth and depth in software engineering. …
If there is one lesson that the big three public cloud providers teach, it is that there is no substitute for breadth and depth in software engineering. …
The engines at the heart of relational database engines are broken, and Deep Information Sciences, which is uncloaking from stealth mode today, thinks it has come up with a way to fix them. …
We tend to cover the various platforms that are being used at massive scale to tackle pressing enterprise and research problems, but once in a while, something out on the edge that shows how these platforms are being deployed catches our eye. …
As we touched on last week, field programmable gate arrays (FPGAs) are not a silver bullet that will rip through the enterprise datacenter world anytime soon. …
The number of production Hadoop clusters is growing, but far too often, that means the number of dedicated clusters just for running it is expanding as well. …
Big data arguably originated in the global high-performance computing (HPC) community in the 1950s for government applications such as cryptography, weather forecasting, and space exploration. …
If you haven’t heard of Flink until now, get ready for the deluge. …
Just a few years ago, using a new kind of tool such as the Hadoop data muncher was sufficient to gain competitive advantage in many industries. …
It was only a few years ago that the foregone conclusion was that future of mission-critical applications would hinge largely on Hadoop. …
All Content Copyright The Next Platform