CHALLENGES WITH EXISTING TECHNOLOGIES
- Yesterday’s data management technologies were not designed to take advantage of distributed computing environments, cloud infrastructures, containers and virtualization, and IoT. Additionally, the exponential growth of data volumes and rigid infrastructures make it difficult to move data and integrate analytics with operational processes, effectively creating data silos. These silos make it challenging to derive meaning and intelligence from the data and can lead to high costs of processing and storing data. These costs only increase when data volumes grow.