Exercise 2: Flipping the Requirement-1-vs-Requirement-4 Weighting — Possible Solution
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THE ORIGINAL WEIGHTING, RESTATED
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The chapter weighted requirement 4 (weekly schema churn, no dedicated
DevOps) more heavily than requirement 1 (complex reporting joins),
choosing Django's own real built-in migrations over SQLAlchemy's own
real Data Mapper query flexibility.

A REVISED SCENARIO WHERE THE WEIGHTING SHOULD FLIP
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Requirement 1, revised: the reporting layer isn't a handful of
occasional joins across four tables -- it's the actual PRODUCT. Meridian
Freight's real, primary deliverable for this project is a genuinely
complex analytics dashboard: multi-level aggregations, window
functions, and reports that join across seven or eight tables at once,
built and refined continuously as real business questions come up week
to week.

Requirement 4, revised: the data model itself is now genuinely STABLE
-- the core shipments/carriers/routes/customers schema was finalized
in an earlier phase of the project and isn't expected to change at all
during this six-week build. The team has real, dedicated time from a
data engineer (not a full DBA, but a real, available second pair of
hands) specifically to support the reporting layer.

WHY THE WEIGHTING SHOULD GENUINELY FLIP HERE
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Chapter 7's own real, quoted SQLAlchemy finding -- the ORM keeps "the
user-defined class, the associated table metadata, and the mapping of
the two... entirely separate," with "any arbitrary Python class"
mappable -- is precisely the property that matters most once genuinely
complex, evolving queries (not the schema itself) are the real, ongoing
challenge. A stable schema means Django's own real built-in-migrations
advantage from the original scenario has almost nothing left to do --
migrations only matter when the schema is actually changing, and this
revised requirement 4 says it mostly isn't. Meanwhile Alembic's own
real separate-package status, the genuine cost that weighed against
SQLAlchemy in the original scenario, is a one-time setup cost paid
once, not a recurring weekly cost -- exactly the kind of cost that
matters far less against a genuinely stable schema than it did against
weekly churn.

THE REVISED DECISION
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With the reporting layer as the real primary product and the schema
genuinely stable, SQLAlchemy's own real query-flexibility advantage
(Ch.6-7) now outweighs Django's own built-in-migrations advantage --
the exact opposite of the original scenario's own conclusion, reached
by changing only the two requirements this exercise names, not by
questioning the underlying reasoning itself.

WHY THIS WORKS AS AN ANSWER
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It constructs a genuinely different scenario by changing only the two
named requirements (not silently altering others), traces the real
reason each specific change shifts the weighting (a stable schema
removes migrations' own advantage; complex, evolving analytics queries
are exactly the scenario Data Mapper's own quoted "entirely separate"
design serves best), and reaches the opposite conclusion for a real,
explained reason rather than asserting it.