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Programming Tech Brief By HackerNoon · Yesterday · 14 min

How I Proved a 12-Million-Record Data Migration Was Actually Correct

This story was originally published on HackerNoon at: https://hackernoon.com/how-i-proved-a-12-million-record-data-migration-was-actually-correct. I have spent two decades building and leading engineering teams. Here's what I learned, so you can apply it to your own migration. Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #data-migration, #data-engineering, #data-quality, #database, #software-architecture, #legacy-modernization, #microservices, #engineering-leadership, and more. This story was written by: @advaittrivedi. Learn more about this writer by checking @advaittrivedi's about page, and for more stories, please visit hackernoon.com. The article discusses the importance of verifying data during a migration, as a green checkmark can be misleading if the data is incorrect. The author shares their experience of migrating 12.3 million records from a legacy Oracle monolith to microservices backed by PostgreSQL and DocumentDB, and how they achieved a 99.9994% match rate by following a series of steps to ensure data correctness.

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This story was originally published on HackerNoon at: https://hackernoon.com/how-i-proved-a-12-million-record-data-migration-was-actually-correct.
I have spent two decades building and leading engineering teams. Here's what I learned, so you can apply it to your own migration.
Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #data-migration, #data-engineering, #data-quality, #database, #software-architecture, #legacy-modernization, #microservices, #engineering-leadership, and more.

This story was written by: @advaittrivedi. Learn more about this writer by checking @advaittrivedi's about page, and for more stories, please visit hackernoon.com.

The article discusses the importance of verifying data during a migration, as a green checkmark can be misleading if the data is incorrect. The author shares their experience of migrating 12.3 million records from a legacy Oracle monolith to microservices backed by PostgreSQL and DocumentDB, and how they achieved a 99.9994% match rate by following a series of steps to ensure data correctness.

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