MOUNTAIN VIEW, Calif. -- Kazeon Systems, Inc., a leading provider of intelligent eDiscovery solutions, today announced that the J. Craig Venter Institute (JCVI), a not-for-profit genomics research organization, has selected the Kazeon Information Server to efficiently allocate and organize the Institute's data and to play a key role in implementing an Information Lifecycle Management solution.
For the past 15 years, scientists at JCVI have been pioneering genomic research. They have sequenced the DNA of hundreds of organisms and have recently explored the world's oceans to discover millions of new genes and proteins from the organisms that surround us. But, with 15 years of research comes 15 years worth of information stored in a myriad of types and formats. To help make sense of all this information, the team needed Information Access technology that would enable JCVI to search, classify and act on the huge amount of electronically stored information contained on its network. Once implemented, JCVI would be in a position to optimize the use of storage resources and to better manage its valuable data. The answer to these problems was found in Kazeon's Information Server.
JCVI needed a solution to enable more cost-effective use of storage and information management resources. Older data was still residing on JCVI's high-performance storage servers, taking up expensive disk space and other efforts to provide an overall Information Lifecycle Management solution required data analysis and classification. After exhaustive evaluation, JCVI chose Kazeon's Information Server to search, classify and act on terabytes of research data used within the JCVI network.
"We have about a hundred terabytes of data spread across various volumes. Many of our files are very small and there are millions of them. Kazeon was able to scale to meet those numbers and provide us with the ability to use both pre-built and customizable reports," said Rajeev Karamchedu from JCVI. "Kazeon's Information Server managed our unique requirements and has allowed us to identify data for effective tiered storage and move forward with our Information Lifecycle Management initiative."