How to plan a Lakehouse migration journey?
1. The discovery phase: Ask internal questions.
The key to this step is to answer two questions: Where am I
now, and where do I need to go? Make sure that you collect
questionnaires from all your data teams, chief information
officers, and other relevant stakeholders. Be prepared for a
lot of new learning and self-discovery as teams test and
validate assumptions.

2. The assessment phase: Make a migration assessment.
Refine and evaluate the solutions on the table. Take an
inventory of all migration items and prioritize the use cases.
When you complete the migration assessment, you’ll have a
clearer sense of your timeline and alignment with your
original planned schedule.

3. The strategy phase: Conduct technical planning.
Think through your target architecture and make sure it
supports the business in the long term. You make crucial
decisions in this phase on your ingestion strategy and
technologies, extract, transform, load (ETL) patterns and
tools, data organization principles in the lakehouse, and
semantic and reporting layer architectural and tool choices.
4.The production pilot phase: Complete evaluation and
enablement.
Understand what your new platform has to offer. Conduct
targeted demos or plans to help vet your approach.

5. The execution phase: Execute your migration.
The rubber meets the road — make sure you get this
migration right the first time.