Data Tiering A Means To Improve Your Data Storage Quality

Data Tiering

Not many people would disagree that after money, data is the life line of any business - and if it is disturbed then the ability of the business to function properly is also disturbed. However, many administrators and IT managers fail to recognize the fact that the value of data to an organization is not constant. In fact, the value of data decreases over time as it loses its relevance and freshness. One question that administrators should be asking themselves is would it not be useful to have a methodology in place for analysing and tracking data freshness? Thereby, the storage space could be made free for more fresh and relevant data? And the time / bandwidth consuming data protection policies be relaxed as data loses its value?

To answer your questions, first, let us understand what Data Tiering means? Data tiering is a quality of storage service that enables logical volumes to span different tiers of storage and transparently move portions of the logical volume between tiers of storage to minimize storage costs and deliver consistent performance and throughput. AmZetta Technologies Private Limited (AMIPL) offers organizations with storage solutions that supports this major feature Data Tiering. StorTrends' Data Tiering optimizes across different types of storage by dynamically choosing between fast / expensive assets (e.g.: SSDs) and lower cost / higher capacity storage resources (e.g.: SATA). It refers to the separation of data into different classes according to its value. In a Data Tiering configuration, data is analyzed for its value, and stored accordingly.

If we consider that data can generally be divided into groups of high, medium, and low value, then we can understand how and where this data should be stored, migrated, and protected. With increasing advancements in data storage management techniques and the technology, StorTrends Data Tiering implementations encompass components such as: Storage System Performance and Monitoring & Storage Capacity Planning and Management. In short, Data Tiering in StorTrends is dynamic and relegates data blocks based on the usage as it is done in the background during idle hours without causing any degradation to the front end performance. This results in lesser overall investment without compromising the performance requirements.