The Data Scooter

Usage Scenario

Moving data to archival management

Most data centres are congested with information that is rarely, if ever, accessed but retained for either regulatory compliance or lack of a deletion policy. Moving information archive centres from tape, where effective management is problematic, or off disk, where it consumes expensive space, lowers costs, improves management, and frees up local capacity. Up to 70% of stored data can typically be move to archives with additional cost-positive benefit in disk-based information management and data mining.

Redistributing data between the storage infrastructure

Data centres fill up fast and the kind of information stored often becomes incorrectly assigned. The cost of digital transfers can be very costly though landline infrastructures and prohibitively expensive in undersea cables. That is where the data scooter can quickly and cheaply resolve distribution issues and move the right data to the right place.

Enabling exchanges between project participants

International collaboration is often required where digital production output is voluminous. Files for animation and cinema, complex software modelling and engineering, supercomputers, and other projects can be very expensive and difficult to transfer. The Data Scooter moves output anywhere on earth quickly, securely, and cost-effectively to the editors, analysers, and technical professionals for accelerated productivity.

Reducing the costs of short-term data escrow

A variety of corporate and project-specific situations arise where specialised data must be stored for short periods. Mergers and acquisitions, legal and discovery process data, digital output for creative projects, and scientific and engineering models and quickly be loaded on to the Data Scooter and moved into secure facilities anywhere costs are appropriate for the budget at hand.

Reducing the costs of short-term data escrow

A variety of corporate and project-specific situations arise where specialised data must be stored for short periods. Mergers and acquisitions, legal and discovery process data, digital output for creative projects, and scientific and engineering models and quickly be loaded on to the Data Scooter and moved into secure facilities anywhere costs are appropriate for the budget at hand.

Overloaded Infrastructure

Overloaded Infrastructure