Before moving any data, I always make sure it’s clean and ready to go. I start by checking the source data to understand what I’m working with, things like missing values, duplicates, wrong formats, or inconsistent entries. This helps me spot any problems early.
Then I clean things up by standardizing the data, For example, making sure all dates follow the same format, names are consistent, and fields like email or ID numbers are valid. I also remove duplicates and fix missing or incorrect information wherever possible.
Once the data looks good, I run some validation checks to confirm that everything is accurate and meets the business requirements before starting the migration. These kinds of checks are a core part of what data cleansing services focus on before any major data move.
In short, it’s all about making sure the data is complete, consistent, and trustworthy before moving it. Our data engineers ensure to follow similar practices when offering Data cleansing services to clients while migrating the data to be accurate and reliable in the new system.
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