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Data Growth Crisis

The world is drowning in data. It is estimated that over 15 petabytes of new information is created every day or eight times more than the information in all the libraries in the United States. This year the amount of digital information generated is expected to reach 988 exabytes. This is equivalent to the amount of information if books were stacked from the Sun to Pluto and back.1

And the data growth crisis impacts IT organizations. According to a recent survey by the Gartner Group, data growth is the leading data center infrastructure challenge. Forty-seven percent of the Gartner Group survey respondents ranked data growth as their number one challenge, followed by system performance and scalability at 37 percent. Consequently, sixty-two percent of the Gartner Group survey responded that they will be investing in database archiving or application retirement to address their data growth challenges.2

"While all the top data center hardware infrastructure challenges impact cost to some degree, data growth is particularly associated with increased costs relative to hardware, software, associated maintenance, administration and services," said April Adams, research director at Gartner.3

Business and compliance objectives are demanding access and control to more and more information, but at the same time data growth is stripping entire data centers of cooling and power capacity. System availability is impacted as data piles up and batch processes start missing scheduled completion times. Mission critical applications may even face outage windows as the time required to convert data during upgrade cycles grows from hours to days. How should enterprises cope?

One solution is to archive and retire inactive data to free up capacity and extend existing infrastructure. Backup, data replication, and batch processes execute faster because data sets are reduced. ERP and CRM upgrade outage windows shorten as less data needs to be converted. Less data means not only higher availability, it also means higher performance across the existing infrastructure.