Cloud & Data Science

Originally posted by DataEndure Director Of Technical Operations, Joseph Dickens, on linkedin.com While cloud adoption was expanding rapidly even before the COVID-19, the urgent changes to business operations and procedures caused these plans and adoption to increase at an even greater rate. Companies are adopting multi-cloud strategies and putting more workloads and data in the cloud – from productivity suites like Office 365 to Customer Relationship Management suites like Salesforce.com and… Read More

Original blog posted by DataEndure Cloud and Data Science Practice Manager, Scott Stephenson  on linkedin.com. Companies today are using one or even multiple clouds to provide OpEx based agility and flexibility for quick development projects, dynamic horizontal scaling of applications, or just as outsourced Platform as a Service (PaaS) services. The pandemic has made business more dependent on cloud-computing than ever—and companies are now racing to rein in the soaring… Read More

Moving to the cloud has many benefits, most of which are enthusiastically touted: greater scalability and storage options, and better visibility into business operations, to name just a few. Yet a move to the cloud doesn’t always mean blue skies— at least, not if you don’t have a guide to help you get the most out of your move. Cloud migration and optimization can create confusion. Though the flexibility and… Read More

You’re not alone! In a recent Forbes article “Why The Cloud Is A Risky Business“, the author points out the complexities and struggles many companies face in their cloud transformation journey.  The numbers speak for themselves – 77% of enterprises are thinking about making the jump to the cloud. The reality is businesses and vendors are traveling this road together, all inspired by the promises of this “brave new world”.  While… Read More