noCV
ADBT-105 · Transform consistently

Make incremental movement loads include revised source rows

Practice briefStoryAdvanced

The incremental model filters only creation time, so a corrected subscription end date never reaches the mart.

Focused work estimate
4h + prerequisites
Priority in the scenario
Medium
Engineering practice
Incremental processing · Idempotency

Estimated field mix

  • Data engineering70%
  • Database engineering30%

Field percentages are editorial estimates of the ticket's engineering focus. They total 100%; they are not measured time, proficiency scores, or ownership evidence.

Your next step

Review it, then add it to your workspace.

The board opens an editable draft; nothing is saved until you confirm it. Sign-in and workspace permissions apply, and Demo boards remain ephemeral.

Project context

A fictional SaaS analyst reports expansion revenue differently from finance because snapshots, refunds and contract changes are joined at incompatible grains.

Setup prerequisites

  • Create a synthetic source schema and local transformation project.
  • Use integer minor units and distinct reporting currencies.

Preceding work

Complete these dependencies, or supply their agreed outputs before taking this ticket.

Acceptance criteria

  • Track source revision or updated watermark with tie breaking.
  • Recompute affected grain keys deterministically.
  • Commit the output and checkpoint consistently.

Implementation constraints

  • Document how deletions and corrections identify affected periods.

Verification to include

  • Correct a prior end date and update the affected month.
  • Retry after an interrupted run and avoid duplicate movement rows.

Deliverables

  • Revision-aware incremental model

Rollout and recovery

Shadow full and incremental builds on a synthetic corpus; fall back to full rebuild if they diverge.

Value of the work

For the engineer: Practice analytical modeling and explainable transformation contracts.

For the team: Review trustworthy reporting definitions and the cost of correcting historical reports.

Evidence boundaries

Outcome Evidence: Tests, patches, and runbooks are requested deliverables. They become Outcome Evidence only through a qualified Mission and immutable Evidence IDs.

Ownership Evidence: Independent adaptation must be observed under a declared verification policy and cite immutable Evidence IDs. Completing a planning ticket establishes no Ownership Evidence.