As the volume of archived data generated and stored globally continues to surge beyond previous levels, an increasing amount of data is being stored. Cloud computing providers are reshaping their architectures through accessible archives to keep pace with data growth and ensure effective management.
Vast amounts of data are typically unstructured or semi-structured, such as video clips, genomic information, or data used for training machine learning and artificial intelligence. For data that is part of active workflows but doesn't require immediate adoption, storing it at a lower cost in cooler storage pools might be a viable solution.
However, factors to consider when using offline storage include how frequently the company needs to access the data or the availability of the data. Today's cloud storage service level agreements are built around the frequency of data access and how long the customer is willing to wait to retrieve the data. Cloud service providers may need 5 to 12 hours to access data stored in the cooler layers, while data stored in the warmer layers is immediately accessible but at a higher cost.
In addition to cost and accessibility considerations, the user's mindset is the third factor. Deleting content is hard to accept, as it's impossible to know which data might be valuable in the future, should it be needed at some point.
Overall, within the storage industry, the primary categories revolve around storage media: magnetic storage and electrical storage. In the vast sea of big data, most data falls into the cold category, meaning it has a low access frequency after three months. Storing such data using conventional methods, such as hard disk and semiconductor storage, significantly boosts the energy consumption of data centers. Additionally, due to the typical lifespan of mechanical hard drives being around five years, long-term data storage also leads to substantial costs and security risks due to the continuous updates of storage media.
