Jim Simon, Senior Director of Marketing, Asia-Pacific, Quantum
Data&StorageAsean: Why is managing data through its life-cycle becoming so important?
Jim Simon: More data is being created than ever before. In addition, much of the data is being kept for long periods of time, often indefinitely.
Managing data through its life-cycle helps organizations in several ways. First, it can ensure that data will be available when needed such as for regulatory or research purposes. Second, it can dramatically reduce costs by saving data to the tier it’s most appropriate for. “Workflow data” follows the process of creation, editing, analysis, and preservation. Preserving data that is not likely to be accessed frequently on high-performance tiers of storage is inefficient. It is valuable to “match tiers of data with the value of the data.” Finally, managing data through its life-cycle can help speed up the performance of a storage system.
Data&StorageAsean: Is the term data life-cycle management just a glorified name for archiving?
Jim Simon: Data life-cycle management is much more than archiving. A proper data life-cycle management system will automatically align data to the optimal tier. For example, if users require data that was preserved on low-cost tape, the system should automatically move the data to a high-performance tier. At some future point, the system would then move the data to the optimal tier based on its characteristics such as, “data not accessed in 30 days.”
Data&StorageAsean: With cloud, mobility and data driven business are the challenges of data life-cycle management becoming more complex?
Jim Simon: A proper data life-cycle management system will reduce the complexities of managing data across multiple tiers whether they are local, in the cloud, or a hybrid. To users, the location of the data will not be obvious. To IT managers, each tier will be as easy to manage as separate folders.
Data&StorageAsean: With the amount of data we now create how do businesses decide which data to manage?
Jim Simon: Historically, the amount of effort required to determine which tier of data it should be saved to and when to delete data, if at all, was so high that many IT organizations stopped trying. They often “solved” the problem by either continuously adding more storage, bulk deleting data, or both. This approach is expensive in the short term and could be extremely expensive in the long term if some data was deleted when it should have been preserved.
The good news is that there are some tools now on the market that make it very easy for organizations to understand the nature of their data, no matter where it is stored. These tools can then be programmed to automate the data lifecycle. In doing so, they help organizations minimize unnecessary purchases of high-performance storage, maximize performance of the storage infrastructure and minimize the threat of inadvertently deleting valuable data.
Data&StorageAsean: Is there anything unique about your Data Life-cycle Management solutions?
Jim Simon: Quantum is an expert in “workflow storage” for general IT organizations as well as highly-specialized vertical fields such as genomics, video surveillance, oil/gas and media/entertainment. Our systems make it easy for data to be stored on the right tier of storage, at the right time, at the right cost. Our StorNext file system works equally well with flash, disk, object storage, tape, and cloud. Each technology is a different tier. Our partnership with DataFrameworks helps IT organizations understand the data they have and works with our data mover technology to ensure that data is matched to the most appropriate tier in terms of performance, cost, and accessibility. “Backup” is not an issue either as StorNext can automatically create multiple copies of data on multiple tiers such as a local copy and a second copy in the cloud