It is safe to say that there have never been more ways to store massive amounts of data of varying degrees of structure and to dice, slice, and correlate that data to gain some insight from it. …
Not all of the NoSQL and NewSQL databases that are created by hyperscale companies or by database experts trying to best them at the latency or scalability game are going to make it as commercial products over the long haul. …
When fractions of a second matter between making a lot of money or losing it, any new technology that gives a latency edge is going to find a home. …
Over the last eighteen months Hadoop distribution vendor, Hortonworks, has watched a stampede of users rush to the cloud, prompting the company to look for better ways to extend usability for first-time entrants to Hadoop territory and to accommodate the rush of test and dev workloads that prefer quick cloud deployments. …
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. …
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