Data migration is a critical and often challenging operation for IT organizations of any size. Whether the organization is small, mid-sized, or a Fortune 500 giant, moving data from one system to another is fraught with risks, ranging from data loss or corruption to extended downtime, and the impacts of those risks can be extremely costly. Regardless of company size, establishing continuity and reliability of the organization’s data mobility functions is a vital undertaking, and selecting the correct approach and solution for data migration is essential.
There are three major approaches to migrating data enterprise production environments—application-based (logical), file-based, and block-based (physical). Each of these migration methods has its own merits and use cases. We’ll evaluate each of the three approaches individually in this article. To start, we’ll discuss some common reasons why organizations need data migration in the first place.
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InfoWorld
