Cloud promises many advantages as an environment for machine learning and analytics. Cloud makes it fast and easy to spin up resources for new applications. Cloud offers elasticity of those resources to efficiently support transient analytics workloads and data pipelines. Cloud offers self-service without waiting for IT infrastructure and operations teams. Cloud service providers now…
In recent years, as public cloud adoption has accelerated and customers have started looking towards cloud for large-scale data workloads, we sought to reimagine how to most effectively offer Cloudera capabilities in the cloud. Our customers wanted to understand how to leverage the agility, scale, and ease-of-use offered by the cloud to efficiently and cost-effectively…
It’s rare these days that a customer conversation occurs without the topic of cloud being broached. Our customers like the idea of being able to provision capacity and grow and shrink clusters on-demand, as well as the convenience of not having to rack and maintain hardware. And when it comes to analytics, the cloud affords…
Have you ever wondered what it’s like to soar like an eagle, scale the face of an icy mountain, or ski behind a horse galloping 40-miles-per-hour? OK, even if skijoring (somehow this is a real thing) isn’t your idea of fun, it’s still pretty cool to watch someone else do it. GoPro, the company that…
This blog was penned by Justin Langseth, the CEO of Zoomdata. Last year I wrote about Cloudera’s pioneering efforts to simplify the trial process in Big Data. The millions of developers that simply want to test Big Data solutions against large sample datasets don’t want to stand up servers, integrate datasets, and model out trial scenarios.…