Data is the new oil—a saying I often hear, and it couldn’t be more accurate in today’s highly interconnected world. Data migration is crucial for organizations worldwide, from startups aiming to scale rapidly to enterprises seeking to modernize IT infrastructure.

However, as a tech enthusiast, I’ve often found myself navigating the complexities of large volumes of data across different environments. A data migration that is not well planned or executed, whether it is a one-time event or ongoing replication, is done manually, not automated using any scripts, or not tested well, which can potentially cause issues during the migration and increase the delay or downtime. 

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