Big Data and the Cloud
It is estimated that we create 2.5 quintillions (that’s 2.5 followed by 18 zeroes) bytes of data each day. It’s no surprise that enterprises are moving into the era of data-driven business opportunities. But, for a company is to make the most out of the big data it generates, it must take an assiduous approach to capturing and analyzing its data.
Big data leads to ever increasing volumes and generation of servers, which subsequently require high network speeds and large bandwidth to sustain parallel processing and increased storage capacities. To obviate this excruciating pressure on servers, storage, and networks, an elastic infrastructure is needed that can accommodate dynamic workload changes by provisioning and de-provisioning resources automatically. To meet their big data challenges, CIOs are turning to the cloud. Read use case on how SNP is helping St.Vincent's Health Partners save $100,000 with Big Data Solutions on Microsoft Azure
Managing an on-premise data management infrastructure can quickly become cost prohibitive, especially for businesses that are growing. The cloud, on the other hand, is gaining widespread acceptance as a preferred platform for the development and testing of new analytics applications and the processing of data generated inside and outside the organization. The flexibility of the cloud enables organizations to aggregate and analyze large volumes of unstructured data quickly and identify lots of insights. Additionally, a cloud-based data management platform follows the pay-as-you-go pricing model, which allows businesses of all sizes to shrink their capital expenditures (Capex) drastically.
Besides the initial cost savings, cloud-based analytics gives companies a clearer picture of their data. by providing seamless, unified access to users across all departments at any time and from any location. Cloud-based big data management also promotes consolidation and collaboration, enabling all lines of business within an organization to collaborate, share, and reference data to drive better results.