oo much data, not enough time, not enough storage space, and not enough budget, sound familiar? Since the first mainframes, efforts have been made to optimize storage capacity requirements and data protection processes.
In the open systems world, the issues mentioned above are the same as years ago when the first data deduplication technology became mainstream. Backups are failing, taking too much space, and costing way too much.
Today, data volumes are growing exponentially and organizations of every size are struggling to manage what has become a very expensive problem. Cheaper storage helps, but is not an operationally efficient solution for many workloads. Data needs to be shrunk to more manageable levels. Too much data causes real problems for companies:
Today, new technology advances are needed to combat the unstoppable and exponential growth of virtual machines and data. In this paper, we will cover Arcserve’s approach to data deduplication.