Big-Data Analytics, E-Discovery
Big-Data Analytics as a ServiceAt a February 2011 meeting of the CTO Forum in Half Moon Bay, Calif., about 60 C-level executives from diverse large enterprises such as NASA, Visa International, Google, MGM Resorts, Kaiser Permanente, Facebook and SAP Labs all came with different IT agendas. But they all agreed on one thing: The tools do not yet exist to handle big-data analytics (petabyte-level data storage and above) the way they need to be handled now, much less the way they will need to be handled in the future, as big data gets even bigger. Because most big-data-generating companies are already cloud-savvy, SAAS figures to be prominent in the sector. Cloud services that can tackle big data in specific areas at a time are now available. Promising players in this space include EMC's Greenplum, which at the recent O'Reilly Strata Conference released a free community version of its analytics database. The Apache Hadoop project, which develops open-source software for scalable, distributed computing of big data for enterprises, also is gaining momentum in this area.
As a sidebar, upstart virtual database provider Delphix, a new startup from Avamar founder and former EMC executive Jed Yueh, brings a unique contribution to solving the big-data analytics problem. With its ability to tether production databases to any number of copies for any type of use (such as patching, reformatting, e-discovery and analytics), and keep everything synchronized, big-data analytics in a SAAS model are now a reality. It's not a surprise that Delphix has been getting a lot of calls lately; nobody else-not even Oracle-has been able to perfect this trick.
E-Discovery as a Service