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Why Data Migrations Go Wrong (3 reasons)

analytics

data warehousing

big data

business intelligence

Автор: Kahan Data Solutions

Загружено: 21 июн. 2023 г.

Просмотров: 4 462 просмотра

Описание:

FREE Modern Data Checklist to give you clarity → https://bit.ly/kds-checklist
Project-based training to help you level-up → https://bit.ly/simple-stack
Consulting to help you implement → https://bit.ly/kds-consulting

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Typically this involves moving from an outdated stack to a more cloud-based & modern set of tools and processes.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

Why Data Migrations Go Wrong (3 reasons)

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