How This Course Works and Your Downloadable Toolkit
Estimated read: 3 min
This part is structured so that by the time you reach the capstone war room, you’re not reasoning about a migration in the abstract – you’re holding four artifacts you built section by section, the same way you’d walk into a real engagement with a toolkit rather than a blank page.
The TCO calculator. Built in The 3-R Decision and the TCO That Convinces the CFO, this is a three-year total-cost-of-ownership model that compares the fully loaded cost of staying on the legacy platform (licensing, hardware refresh cycles, the DBA headcount required to keep a twenty-year-old system patched) against the Databricks-side cost across rehost, re-platform, and re-architect scenarios. You’ll use it to build the one-slide summary that actually lands with a board, not a forty-tab spreadsheet nobody reads past slide two.
The reconciliation script library. Built across The Reconciliation Stack and Building the Reconciliation Engine, this is a set of PySpark jobs implementing the five-layer reconciliation stack – count, sum, checksum, hash, and semantic parity – plus the dashboards that make parity visible to a business stakeholder who doesn’t want to read a Spark job to trust a cutover.
The ABAC tag taxonomy. Built in ABAC, Masking, and Cross-Engine Governance, this is the tag schema and masking policy pack that replaces a legacy role hierarchy of five hundred Oracle roles with a governed-tags model in Unity Catalog – schema-level attribute tagging instead of a role explosion, so access policy scales with your data model instead of against it.
The go/no-go decision matrix. Built in The Migration Playbook and used for real in the capstone, this is the structured checklist – reconciliation status, rollback readiness, business sign-off, compute headroom – that turns a cutover decision from a gut call under pressure into a defensible, auditable one.
Each artifact is introduced where it’s built, with working code and templates you can adapt directly to your own migration – this isn’t a toy example you’ll discard after the section ends. The sandbox you’ll use throughout mirrors StepRight’s structure from Part 2: a bronze/silver/gold Unity Catalog setup, except now seeded with data and DDL that mimics a legacy Oracle-style schema (surrogate keys via sequences, PL/SQL-flavored naming, denormalized reporting tables) so the translation and reconciliation exercises are grounded in something that looks like what you’ll actually inherit on the job.
Treat every code sample and template in this part as a starting point, not a finished tool – the actual column names, thresholds, and tag taxonomy in your migration will differ from StepRight’s. What should transfer directly is the structure: which five layers a reconciliation job needs, which fields a go/no-go matrix has to cover, which cost lines a TCO calculator can’t afford to omit.
With the operating model and the toolkit both in view, the next section starts the work for real: profiling the legacy monolith you’ve inherited, starting with the question every migration skips at its own peril – what’s actually in this system, and what does it actually cost to run?
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