Presented by Pure Storage
The nature of compute itself is changing as analytics becomes a core capability in the enterprise data center. Technology providers must evolve the products they offer to meet the needs of this new world of data, and this is especially true in the world of storage. Data has become plentiful due to the promise of analytics coupled with new data sources such as edge computing. Enterprises struggle with finding a consistent view of their data to the various processing workflows that need that data. Traditional systems are not designed to deliver multiple streams of the same data with the varying levels of performance required by each of the workflows being deployed by successful and growing enterprises.
New storage and data architectures are needed to address the evolving needs of enterprise compute. We call this architecture a data hub. The data hub must deliver on a number of promises in order to fulfill the vision of a data driven enterprise. It must produce high throughput file and object storage and provide application-specific performance characteristics (e.g., latency, throughput, and input/output operations per second), while offering those application-specific capabilities to multiple clients simultaneously.