Many business professionals would agree that after money, data is the lifeline of any business - and if data is disturbed, the ability of the business to function properly is also disturbed. However, many IT Managers fail to recognize the fact that the value of a businesses data is not constant. In fact, the value of data decreases over time and loses it relevance. The question that administrators should be asking themselves is “Would it be useful to have a policy in place for analyzing and tracking data freshness?” Then, the storage space could open up for the freshest and most relevant data. The time / bandwidth consuming data protection policies could also become more tranquil as data loses its value.
To answer your questions, first, let us understand what data tiering means. Data tiering is a storage technology that enables logical volumes to span different tiers of storage while transparently moving portions of the logical volume between tiers of storage. This minimizes storage costs, while also delivering consistent performance and throughput. StorTrends provides organizations with storage solutions that support this significant feature, data tiering. StorTrends' data tiering technology is utilized across different types of storage by dynamically choosing between fast / expensive drives (i.e. SSDs) and lower cost / higher capacity drives (i.e. SATA). The technology separates data into different classes based on its value.
Data can generally be divided into groups of high, medium, and low value, and should be stored, migrated, and protected accordingly. With increasing advancements in data storage management technology, StorTrends Data Tiering implementations encompass components such as storage system performance, monitoring, 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 - all without degrading front-end performance. This results in a smaller overall investment without compromising performance.