Your Capstone Deliverable and Course Wrap

Estimated read: 3 min

Four artifacts have been under construction since the opening section of this part, and the war room simulation just used all four of them for real: the TCO calculator that justified the re-platform decision, the reconciliation script library that caught a one-line rounding bug before it reached the general ledger, the ABAC tag taxonomy governing who could see the invoice data being debugged live, and the go/no-go decision matrix that turned two separate incidents into two defensible, documented calls instead of two judgment calls made under pressure. The capstone deliverable for this part is assembling those four into one package, applied to a system you actually know – not StepRight’s sandbox, but a real legacy platform from your own environment, even if you only take it as far as the paper exercise.

Concretely, that package is:

A workload inventory and 3-R verdict for the system, with at least the ten highest-priority objects scored Lift, Redesign, or Retire, each with a one-sentence rationale traceable to a real query or metric – not a guess.
A three-year TCO comparison across staying put, rehosting, and re-platforming, using your own environment’s actual licensing and headcount numbers in place of the illustrative ones this course used.
A reconciliation plan naming which of the five layers – count, sum, checksum, hash, semantic parity – applies to your highest-risk table, and what “zero variance” means for it in practice.
A go/no-go matrix with your own criteria and thresholds, plus a one-paragraph rollback plan stating what gets rehearsed, how, and how often before anyone is allowed to treat it as tested.

None of these four documents needs to be long. A one-slide TCO summary that a CFO will actually read is worth more than a forty-tab model nobody opens past slide two – the toolkit lecture that opened this part made that point before you’d built any of the four artifacts, and it’s still true now that you have.

That closes the arc this course has been running since Part 1. You started with Databricks fundamentals – a workspace, Delta Lake, Unity Catalog, the medallion architecture, Lakeflow’s three pillars – learned in isolation, one concept at a time. Part 2 put those fundamentals to work building StepRight from a blank workspace: a real pipeline, real orchestration, real data quality checks, on a system with no legacy baggage to reconcile against. This part took the same platform knowledge and pointed it at the harder, more common problem: a twenty-year-old system that already works, that the business already depends on, where the job isn’t building something new but proving – row by row, dollar by dollar – that the replacement is at least as correct as what it’s replacing, and executing that replacement without the business ever noticing the seam.

That’s the actual shape of most Databricks work in the field. Green-field builds are the exception; migrations, and the trust-building work underneath them, are the rule. The reconciliation habits, the rollback discipline, and the refusal to average a red gate against four green ones – those transfer to any migration you run next, on any legacy platform, at any scale. The Databricks Glossary that follows this quiz is a standing reference for the vocabulary this course built up across all three parts – worth bookmarking, not just reading once.

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