Why Enterprise Migrations Fail (And the Architect Who Stops It)
Roughly a third of large enterprise data warehouse migrations stall or get scrapped before cutover – not because the target platform was wrong, but because the team ran a data movement project when what they actually had was a business-logic archaeology project. This section sets the frame for everything that follows: why migrations really fail, what Lakebridge automates well and what it can never automate, and the operating model – assess, translate, reconcile, cut over, govern, optimize – that the rest of this part is structured around. By the end you’ll know what toolkit you’re building toward (a TCO calculator, reconciliation scripts, an ABAC tag taxonomy, a go/no-go matrix) and why each one earns its place.
flowchart LR
A["Legacy EDW\n(Oracle / Teradata / SQL Server)"] --> B{"Why migrations stall"}
B --> C["Underestimated procedural logic\n(500 stored procs, not just tables)"]
B --> D["No reconciliation until the end\n(surprises at cutover)"]
B --> E["Lift-and-shift everything\n(no re-architecture ROI)"]
C & D & E --> F["Migration Architect's\nOperating Model"]
F --> G["Assess"]
F --> H["Translate"]
F --> I["Reconcile"]
F --> J["Cut over"]
F --> K["Govern & optimize"]
Lectures
| # | Lecture | Est. Read |
|---|---|---|
| 1 | The Migration Graveyard: Why 1 in 3 EDW Migrations Stall | 3 min read |
| 2 | The 80/20 Truth: What Lakebridge Does and the 20% It Never Will | 3 min read |
| 3 | The Migration Architect’s Operating Model | 3 min read |
| 4 | How This Course Works and Your Downloadable Toolkit | 3 min read |
| 5 | Check Your Knowledge | Quiz |
| ← Previous: Legacy Migration to Databricks | Next: The Migration Graveyard: Why 1 in 3 EDW Migrations Stall → | |:—|—:|