Successful migrations come from proven principles and repeatable execution, not big-bang rewrites. This step is organized as a wave-by-wave playbook (Steps 1–6) you can run end-to-end: assess readiness, sequence work, choose data movement patterns, cut over safely, decommission legacy, and run “old + new” without burning out teams.

After the playbook, you can apply the same principles through two patterns (Data Mesh transition and Cloud & Lakehouse migration), and use one consolidated FAQs page for common questions. By the end, you’ll be able to keep business-critical use cases stable while you learn quickly, reduce risk, and avoid the trap of running two stacks forever.

Introduction

Step 1: Readiness & Assessment

Step 2: Strategy & Sequencing

Step 3: Data Movement Patterns (Batch vs CDC vs Streaming)

Step 4: Cutover, Testing, and Reconciliation

Step 5: Legacy Decommissioning & Complexity Reduction

Step 6: Operating Model During Migration (Old + New)

Bonus: Data Mesh Transition Pattern

Bonus: Apply Migration Principles to Cloud & Lakehouse

FAQs on Migration Patterns (Data Mesh + Cloud & Lakehouse)