Many organizations need to generate, process, and store multiple petabytes (PBs) of data. Increasingly they discover that their legacy storage solutions lack the capacity and performance required for workloads such as recommendation engines, conversational AI, risk mitigation, financial compliance, and other high-velocity analytics. Some of these workloads involve millions of tiny files, while others process individual files larger than twenty terabytes in size and individual datasets in the hundreds of terabytes.
These demands put enterprises on notice to look for and obtain scalable storage solutions. In this white paper you’ll learn how to:
- Easily and economically grow to manage multiple
petabytes of data
- Meet changing application capacity and performance demands
- Dynamically detect and adapt to changes in the
environment with minimal intervention