PRO+ Premium Content/Storage
Access your Pro+ Content below.
Three approaches to strategic data management: Good, better and best
This article is part of the Storage issue of June 2017, Vol. 16, No. 4
In a vlog earlier this year, I spoke of the concept of "Y" and how data protection must evolve toward data availability and data management. Regarding the latter, it is time for organizations, and vendors, to take a more sophisticated approach to managing their data. To get the maximum benefit from this important resource, I suggest using what I call the good, better and best approaches to strategic data management. Good. Keep data for as long as it's needed. This may sound fundamental, but many organizations only hold data for six months or a year. As such, they may not be able to roll back their data as far as needed when the situation requires it, for example, when told to retrieve historical data during an e-discovery event or regulatory audit. Some organizations also don't protect data frequently enough -- perhaps only once or twice per week -- which can result in more data loss than is tolerable when recovering from a malware attack or other corruption event. One vendor refers to this as the "protection gap" between what ...
Features in this issue
-
Multiprotocol unified storage systems poised for growth
With support for block, file or both types of data on the same device, unified storage architecture is a flexible storage option for the modern data center.
-
New use cases for flash data storage benefit enterprises
Adoption of protocols such as NVMe and memory bus-based flash DIMMs helps flash storage devices keep pace with the most demanding use cases.
Columns in this issue
-
Price of cloud storage may be fuzzy
Cloud storage services offer convenience and can cut IT spending, but not in every case. Make sure to do the math before you commit to putting your critical data in the cloud.
-
Three approaches to strategic data management: Good, better and best
It's time organizations take a more mature and sophisticated approach to data management techniques and make the most of the data they generate and consume.