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Typically this involves moving from an outdated stack to a more cloud-based & modern set of tools and processes.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!

The Starter Guide to the Modern Data Stack - https://bit.ly/3MdORqn

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Are you looking for help with your own data migration project? I may be able to help.
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▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬
0:00 - Intro
0:37 - Moving bad code or practices
1:52 - Overly aggressive timelines
3:10 - Lack of experience or skills


Why Data Migrations Go Wrong (3 reasons)
#kahandatasolutions #dataengineering #datamigration