Effective Data Migration: Challenges & Success
summary
Practical guidance for migrating data platforms to public or hybrid clouds with concrete tradeoffs and fixes: choose tools to match team skills, build infrastructure as code with tests and CI, and monitor costs and performance from day one. Examples include Kubernetes + open source across private and AWS for a telco and Databricks on Azure with migration path to AWS/GCP for a fintech. Emphasizes monitor from day one and always calculate exit cost to avoid costly vendor lock in and painful lift and shift redo.
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chapters (9)
- 0:00Introduction
- 1:11Why migrate data
- 3:38Cost and vendor lock-in
- 9:22Avoiding vendor lock-in
- 12:14Cost versus flexibility
- 15:51Legal and GDPR
- 18:20Team and tech choices
- 22:02Summary
- 22:46Q&A
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