Why Your Data Infrastructure Migration Project Will Fail (And How to Succeed)

If you work in tech long enough, you’ll inevitably find yourself in the middle of a migration project—probably more often than you’d like.

“We should all use Teradata!” Migrate.

“Actually, Snowflake is the future!” Migrate.

“Wait, let’s go all-in on Iceberg and Databricks!” Migrate.

It’s a never-ending cycle. In fact, migration is such a core part of the industry that Databricks recently acquired BladeBridge just to help them make migrations easier.


The problem? Migrations often don’t go as planned. Some get delayed, others stall out halfway, and many become massive time and money sinks. There are countless ways for a migration to go sideways, but with the right approach, you can avoid the most common pitfalls.

Let’s break down the biggest reasons migration projects fail—and how you can keep yours on track.

If you want to read the article version, you can find it here - seattledataguy.substack.com/p/why-your-data-infras…

If your team is looking for help planning out and executing your migration project, then feel free to set up some time to chat here - calendly.com/ben-rogojan/consultation?month=2025-0…

Or check out my blog
www.theseattledataguy.com/

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Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio

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About me:
I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.

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