EMC Combines Unstructured and Structured Data Archiving

Mike Vizard

With data of all types now being viewed more as an asset than ever, how organizations go about archiving their data is starting to take on greater importance, especially when it comes to unstructured data that is growing at leaps and bounds across most organizations.

To address that issue, EMC today released EMC InfoArchive, which provides the ability to combine unstructured and structured data within the same archive.

David Mennie, director of product marketing for EMC’s Information Intelligence Group, says in an era when all data is now valuable, customers are looking for ways to more efficiently archive data. EMC is making this possible by employing a native XML database based on technology that EMC gained when it acquired X-Hive in 2007.

EMC InfoArchive, adds Mennie, is also designed to provide the ability to access data based on actual usage, with the most recently archived data being stored in the fastest storage devices available to the archive.

In addition to launching EMC InfoArchive, EMC today made available a raft of enhancements to its Documentum document management suite of software, including support for 64-bit Linux systems; tighter integration with EMC Syncplicity, Microsoft SharePoint and SAP software; and the ability for the company’s Captive Mobile toolkit to work with mobile computing devices that have cameras that can be used to capture images.

Mennie says that as information management becomes a higher priority in the era of Big Data, it’s clear that IT organizations are going to be managing data at unprecedented levels of scale, all of which begins with finding the most efficient way to archive all the data in a way that makes sure it’s still readily accessible.

At the same time, it’s becoming apparent that traditional data management and enterprise content management (ECM) systems are about to converge, which presents IT organizations with a unique opportunity to save money, assuming they can overcome the inherent complexity of making that happen in the age of Big Data.



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