Cloud based analytical systems becomes the tipping point for business

walden, system, systems, remote, virtual, cloud, computing, desktop, ciel, cielview, view, compute, vm, machine, vdi, infrastructure, server, paas, saas, platform, service, software, serverless, thin, client, workspace, private, public, iaas, vcloud, terminal, tco, thin client, walden systems, virtualized, customized, view
CielView-Server minimizes redundancy in computing resources while allowing users remote desktop access to virtualized user Desktops. CielView-Desktop provides customized solutions to each user in an organization

Many enterprises need big data analytics for their business intelligence but many balk at the high costs until now; Cloud computing makes the need for massive, in house infrastructure obsolete. Many enterprises are making the paradigm shift to the cloud? Here are some reasons why.

Big data requires massive expenditures in infrastructure, computing power, and most of all, time. Cloud based offsets this by minimizing the burden on in-house IT to purchase and manage the infrastructure. For the most part, all the IT department needs to provide is an internet connection and an ordinary PC.

Cloud is ideal storage facility for all the generated data. Cloud not only saves money on the storage but also on the specialized equipment and infrastructure involved in housing the storage. This allows the data scientists to focus on high-end data analytical issues rather than developmental teething issues.