A data migration can be a challenging project. In this webinar we look at what to watch out for when you're planning a migration, and show you some common pitfalls to avoid and some best practices to help your migration run smoothly.
We look at the 4 phases of a data migration:
- Strategy - Choosing your migration approach (big bang or trickle), and defining scope
- Plan - In-depth scoping, defining your tools and team, and the importance of documentation and planning for things going wrong
- Implementation - Which data should you process first? How to test properly, and how to communicate to your stakeholders
- Execution - Tips for automating as much as possible, and how to make sure your backups work
Read more:
- Data migration with CloverDX: [ Ссылка ]
- Overview of the CloverDX Data Integration Platform: [ Ссылка ]
- Request a demo: [ Ссылка ]
00:25 - What is a data migration?
03:05 - The 4 high level phases of a data migration project, from strategy to execution
04:00 - Data migration strategy
05:30 - Data migration project scope
08:06 - Building a data migration plan
09:19 - Technical analysis needed for a successful data migration plan
11:55 - Your data migration tech stack
16:05 - Assembling your project team
20:15 - Data mapping tips
22:30 - When the scope changes
23:17 - Which data should you process first?
25:05 - The importance of testing
28:40 - How to ensure a smooth execution
31:50 - Why you should automate everything
33:25 - Reconciliation and audit
35:30 - How the CloverDX Data Management Platform can help your data migration
