Free Pack · Data Engineering

Data Lake / Lakehouse Health Pack

Turn a data swamp back into a platform: a 24-question lakehouse assessment, a 20-point health checklist, a table-format decision matrix, a remediation project plan, and a data-quality validation plan.

24assessment questions
3medallion layers
4format options

01 — Inside the pack

What’s inside

Four working artifacts. The checklist and the architecture diagram download instantly; the questionnaire and the decision workbook — the high-value bundle — are free with a work email.

PDF · multi-page

Discovery questionnaire

24 scored discovery questions across 6 sections with evidence prompts, response scales, and a scoring guide — the workshop instrument for honest scoping.

Full pack · free with work emailUnlock in the full pack →

XLSX · 4 sheets

Decision workbook

Excel workbook: decision matrix with auto-weighted scoring and 1–5 rating validation, phased project plan with owners and deliverables, and a validation test plan with result tracking.

Full pack · free with work emailUnlock in the full pack →

PDF · 20 checks

Readiness checklist

20-point readiness checklist across 5 categories with sign-off blocks — use as phase entry criteria and go/no-go gates.

Instant downloadDownload PDF

SVG · one page

Architecture diagram

One-page blueprint-style architecture diagram — print it for the workshop wall or drop it into your deck.

Instant downloadDownload SVG

02 — Architecture at a glance

Lakehouse at a glance

SOURCES Batch sources Streaming sources CDC BRONZE Raw landing Schema-on-read SILVER Cleaned & conformed Dedup & keys GOLD Modeled marts Feature tables GOVERN Catalog & lineage Quality gates

One storage substrate, three discipline layers, governance across all of it.

03 — Who it’s for

Built for the people doing the work

  • Data engineering teams inheriting a lakehouse that 'mostly works' but nobody trusts
  • Architects choosing or re-choosing table format (Delta, Iceberg, Hudi) and governance
  • Leaders paying growing storage/compute bills with flat data-product output

04 — How to use it

Run it like a program, not a download

  1. Score the platform honestly

    Run the questionnaire with data engineering, analytics, and data consumers. Low scores on governance and quality are the usual binding constraints — not the table format.

  2. Fix trust before scale

    Use the checklist to close data-quality and freshness gaps on the highest-value data products first. One trusted product beats ten dubious ones.

  3. Decide the format question once

    The decision matrix settles Delta vs. Iceberg vs. Hudi vs. managed — with migration cost made explicit. Format churn without a migration plan is just rework.

  4. Remediate in layers

    Follow the project plan's medallion discipline: land raw reliably (bronze), then curate (silver), then serve (gold). Skipping layers is how swamps form.

  5. Validate like a consumer

    The validation plan tests freshness, correctness, and cost from the consumer's point of view — the only view that matters.

05 — Get the full pack

Unlock the questionnaire + decision workbook

Free for practitioners. We ask for a work email so an architect — not a drip campaign — can follow up if your scores raise flags.

No spam, no SDR sequence. If you bring a completed questionnaire to a discovery call, an architect reads it first. Your details are used to deliver the pack and follow up on your interest only — Privacy Policy. No marketing without consent.

06 — Keep going

Pair the pack with an assessment

Recommended next step

Data Platform Health Assessment

Run the interactive assessment, then compare its output against your pack scores — the two together scope an engagement honestly.

Start the assessment →

Related

Pattern: lakehouse

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Engineering hub

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Talk to an Architect

Bring a completed pack to your discovery call

It compresses weeks of fact-finding into one working session — and the scoring shows us both where the risks are.