1. Utilizing affordable yet reliable archival storage
For infrequently used or archived data, slow hard disk drives and tapes are commonly used storage media. It's crucial to regularly test disks and tapes to ensure they're functioning properly. Additionally, avoid downgrading old drives and tapes to archive and data backup functions—these resources still have a lifespan, and they are more prone to failure if they're too outdated.
2. Conduct an annual data assessment
Even if you already have a method for storing data, it doesn't mean you should store all of it. If you don't have one, consult with management and the legal department to determine which data should be retained and which should be discarded, and review this annually.
4. Utilizing Data/Storage Automation
Most storage providers offer tiered data storage, which is implemented through artificial intelligence. AI employs the rules you define for storing data and automatically applies them to determine where the data is stored.
Most big data storage management strategies focus on providing users with real-time access to data at all times, which also increases the budget for storage and processing. Companies can help offset these larger expenses by managing rarely used data, allowing for low-cost storage of this information. For such data, archival storage is a secure, reliable, and cost-effective solution.
A survey reveals that the data volume over the next three years will exceed the total of the past 30 years. As businesses increasingly recognize the value of data and its rapid growth, archiving storage becomes crucial. Companies must prioritize designing scalable solutions tailored to their own operations to seize data-driven innovation opportunities and address the related issues that arise with the accumulation of large-scale data and continuous data growth.
Archiving storage is not only a method for storing increasingly large datasets; it also aids in safely controlling these valuable assets within an organization and assists future-oriented projects in effortlessly retrieving data. In this new era of data, a growing trend is becoming more apparent: even if data does not seem to generate immediate value, we cannot afford to ignore it.
