Why Data Migrations Go Wrong (3 reasons)
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Every year many data teams embark on massive data migration projects.
Typically this involves moving from an outdated stack to a more cloud-based & modern set of tools and processes.
Unfortunately, far too often these exciting projects turn into a huge headache that leave you questioning if it was all worth it.
But it doesn't have to be that way.
So in today's video I want to share a few of the common ways I've seen things go wrong and share some thoughts on ways you can avoid it.
Thank you for watching!
Timestamps:
0:00 - Intro
0:37 - Moving bad code or practices
1:52 - Overly aggressive timelines
3:10 - Lack of experience or skills
Title & Tags:
Why Data Migrations Go Wrong (3 reasons)
#kahandatasolutions #dataengineering #datamigration
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