Authored on: Jan 13, 2012
Download As the calendar turned to 2010, many reflected on the changes that occurred over the past 10 years. Looking back on the life sciences, the biggest event was the sequencing of the human genome, which caused a data explosion that continues today. Specifically, the growing use of sequencing and medical imaging is producing a constant increase in the volume of life sciences data that must be used to develop new drugs. This growth is forcing most life sciences organizations to re-evaluate their storage solutions. What�s needed is a highly scalable solution that delivers the various levels of data throughputs required in today�s R&D analytic workflows. Such solutions must be affordable, easy to manage, and offer a way to address long-term data storage issues such as data migration and protection against media errors in high-capacity drives.