Automagically Moving Legacy Hadoop To The Cloud
Always on the lookout for the kernel of a new platform, we chronicled the steady rise and sharp fall of Hadoop as the go-to open source analytics platform. …
Always on the lookout for the kernel of a new platform, we chronicled the steady rise and sharp fall of Hadoop as the go-to open source analytics platform. …
As we have pointed out before, large enterprises have to deal with a different kind of scale issue than the hyperscalers, and in many ways, the hyperscalers have it easier. …
There is nothing at all wrong with legacy application and system software as long as it can deliver scalability, reliability, and performance. …
Just a decade ago, the enterprise IT push was to make Hadoop the platform for storage and analytics. …
It was only two years ago that Cloudera, once one of the top vendors in what had been a white-hot Hadoop market, found itself fighting for survival. …
Remember how, just a decade ago, Hadoop was the cure to all the world’s large-scale enterprise IT problems? …
It is no secret that the big three commercial Hadoop distributors have been running into headwinds in recent years as more workloads and data have made their way into the public cloud and that these Hadoop platform providers have spent a lot of money and time to expand their stacks beyond the basic open source Hadoop. …
The advent of scalable analytics in the form of Hadoop and Spark seems to be moving to the end of the Technology Hype Cycle. …
The announcement last fall that top Hadoop vendors Cloudera and Hortonworks were coming together in a $5.2 billion merger – and reports about the financial toll that their competition took on each other in the quarters leading up to the deal – revived questions that have been raised in recent years about the future of Hadoop in an era where more workloads are moving into public clouds like Amazon Web Services (AWS) that offer a growing array of services that many of the jobs that the open-source technology already does. …
It is safe to say that a little more than a decade ago, when the clone of Google’s MapReduce and Google File System distributed storage and computing platform was cloned at Yahoo and offered up to the world as a way to transform the nature of data analytics at scale, that we all had much higher hopes for the emergence of platforms centered around Hadoop that would change enterprise, not just webscale, computing. …
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